November 28, 2022 – December 9, 2022

Microsoft at NeurIPS 2022

Central Standard Time (UTC -6)

위치: Hybrid | New Orleans, Louisiana

모든 시간은 CST (UTC -6)

08:00 – 20:00 Workshop

Affinity Workshop: LatinX in AI

Maria Luisa Santiago, Juan Banda, CJ Barberan, Miguel Gonzalez-Mendoza, Caio Davi, Sara Garcia, Jorge Diaz, Fanny Nina Paravecino, Carlos Miranda, Gissella Bejarano Nicho, Fabian Latorre, Andres Munoz Medina, Abraham Ramos, Laura Montoya, Isabel Metzger, Andres Marquez, Miguel Felipe Arevalo-Castiblanco, Jorge Mendez, Karla Caballero, Atnafu Lambebo Tonja, Germán Olivo, Karla Caballero, Francisco Zabala

Sponsored by Microsoft
09:00 – 18:00 Workshop

Affinity Workshop: Queer in AI

Sarthak Arora, Jaidev Shriram, Evan Dong, Divija Nagaraju, Kruno Lehman, Yanan Long, Nenad Tomasev, Ashwin S, Hang Yuan, Ruchira Ray, Claas Voelcker

Sponsored by Microsoft
09:40 – 18:00 Workshop

Affinity Workshop: Black in AI

Victor Silva, Foutse Yuehgoh, Salomey Osei, Blessing Ogbuokiri, Idriss Cabrel Tsewalo Tondji, Deborah Dormah Kanubala, Lyse Wamba

Sponsored by Microsoft
11:30 – 19:00 Workshop

Affinity Workshop: Women in Machine Learning

Mariam Arab, Konstantina Palla, Sergul Aydore, Gloria Namanya, Beliz Gunel, Kimia Nadjahi, Soomin Aga Lee

Sponsored by Microsoft

11:30 – 13:00 Poster session

Poster Session 1

Spotlight Sessions: December 6 and December 8

Panel Sessions: December 6, December 7, and December 8
관련 출판물
- Differentially Private Model Compression
  
  Fatemehsadat Mireshghallah, Arturs Backurs, Huseyin Inan, Lukas Wutschitz, Janardhan (Jana) Kulkarni
- Self-explaining deep models with logic rule reasoning
  
  Seungeon Lee, Xiting Wang, Sungwon Han, Xiaoyuan Yi, Xing Xie, Meeyoung Cha
- Equivariant Networks for Zero-Shot Coordination
  
  Darius Muglich, Christian Schroeder de Witt, Elise van der Pol, Shimon Whiteson, Jakob Nicolaus Foerster
- Mask-based Latent Reconstruction for Reinforcement Learning
  
  Tao Yu, Zhizheng Zhang, Cuiling Lan, Yan Lu, Zhibo Chen
- Task-Agnostic Graph Explanations
  
  Yaochen Xie, Sumeet Katariya, Xianfeng Tang, Edward Huang, Nikhil Rao, Karthik Subbian, Shuiwang Ji
- On the Complexity of Adversarial Decision Making
  
  Dylan J Foster, Alexander Rakhlin, Ayush Sekhari, Karthik Sridharan
- Sample Optimality and All-for-all Strategies in Personalized Federated and Collaborative Learning
  
  Mathieu Even, Laurent Massoulie, Kevin Scaman
- Gradient Estimation with Discrete Stein Operators
  
  Jiaxin Shi, Yuhao Zhou, Jessica Hwang, Michalis Titsias, Lester Mackey
- Extreme Compression for Pre-trained Transformers Made Simple and Efficient
  
  Xiaoxia Wu, Zhewei Yao, Minjia Zhang, Conglong Li, Yuxiong He
- Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation
  
  Botao Yu, Peiling Lu, Rui Wang, Wei Hu, Xu Tan, Wei Ye, Shikun Zhang, Tao Qin, Tie-Yan Liu
- Provably sample-efficient RL with side information about latent dynamics
  
  Yao Liu, Dipendra Misra, Miro Dudík, Robert E. Schapire
- Learning (Very) Simple Generative Models Is Hard
  
  Sitan Chen, Jerry Li, Yuanzhi Li
- Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis
  
  Tim Pearce, Jong-Hyeon Jeong, Yichen Jia, Jun Zhu
- Exponentially Improving the Complexity of Simulating the Weisfeiler-Lehman Test with Graph Neural Networks
  
  Anders Aamand, Justin Y Chen, Piotr Indyk, Shyam Narayanan, Ronitt Rubinfeld, Nicholas Schiefer, Sandeep Silwal, Tal Wagner
16:00 – 18:00 Poster session

Poster Session 2

Panel Session: December 6

Spotlight Session: December 8
관련 출판물
- Alignment-guided Temporal Attention for Video Action Recognition
  
  Yizhou Zhao, Zhenyang Li, Xun Guo, Yan Lu
- Maximum Class Separation as Inductive Bias in One Matrix
  
  Tejaswi Kasarla, Gertjan J. Burghouts, Max van Spengler, Elise van der Pol, Rita Cucchiara, Pascal Mettes
- VRL3: A Data-Driven Framework for Visual Deep Reinforcement Learning
  
  Che Wang, Xufang Luo, Keith Ross, Dongsheng Li
- Efficient and Effective Multi-task Grouping via Meta Learning on Task Combinations
  
  Xiaozhuang Song, Shun Zheng, Wei Cao, James Yu, Jiang Bian
- Incentivizing Combinatorial Bandit Exploration
  
  Xinyan Hu, Dung Daniel Ngo, Aleksandrs Slivkins, Steven Wu
- RKHS-SHAP: Shapley Values for Kernel Methods
  
  Siu Lun Chau, Javier González, Dino Sejdinovic
- Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence Learning
  
  Aniket Didolkar, Kshitij Gupta, Anirudh Goyal, Nitesh B. Gundavarapu, Alex Lamb, Nan Rosemary Ke, Yoshua Bengio
- LiteTransformerSearch: Training-free On-device Search for Efficient Autoregressive Language Models
  
  Mojan Javaheripi, Shital Shah, Subhabrata (Subho) Mukherjee, Tomasz L. Religa, Caio C. T. Mendes, Gustavo H. de Rosa, Sébastien Bubeck, Farinaz Koushanfar, Debadeepta Dey
- GLIPv2: Unifying Localization and Vision-Language Understanding
  
  Haotian Zhang, Pengchuan Zhang, Xiaowei Hu, Yen-Chun Chen, Liunian Harold Li, Xiyang Dai, Lijuan Wang, Lu Yuan, Jenq-Neng Hwang, Jianfeng Gao
- Robust Model Selection and Nearly-Proper Learning for GMMs
  
  Jerry Li
- Matching in Multi-arm Bandit with Collision
  
  Yirui Zhang, Siwei Wang, Zhixuan Fang
18:00 – 20:00 Live Q&A

RL Social

Yuxi Li, Omer Gottesman, Niranjani Prasad

11:00 – 13:00 Poster session

Poster Session 3

Spotlight Sessions: December 6, December 8, and December 11

Panel Session: December 8
관련 출판물
- Uni[MASK]: Unified Inference in Sequential Decision Problems
  
  Micah Carroll, Orr Paradise, Jessy Lin, Raluca Georgescu, Mingfei Sun, Dave Bignell, Stephanie Milani, Katja Hofmann, Matthew Hausknecht, Anca Dragan, Sam Devlin
- Missing Data Imputation and Acquisition with Deep Hierarchical Models and Hamiltonian Monte Carlo
  
  Ignacio Peis, Chao Ma, Jose Miguel Hernandez Lobato
- Fast and Scalable Homomorphically Encrypted Graph Convolutional Network Inference
  
  Ran Ran, Wei Wang, Quan Gang, Jieming Yin, Nuo Xu, Wujie Wen
- Contextual Squeeze-and-Excitation for Efficient Few-Shot Image Classification
  
  Massimiliano Patacchiola, John F Bronskill, Aliaksandra Shysheya, Katja Hofmann, Sebastian Nowozin, Richard E Turner
- Learning to Discover and Detect Objects
  
  Vladimir Fomenko, Ismail Elezi, Deva Ramanan, Aljosa Osep, Laura Leal-Taixé
- Unsupervised Learning of Group Invariant and Equivariant Representations
  
  Robin Winter, Marco Bertolini, Tuan Le, Frank Noé, Djork-Arné Clevert
- Visual Concepts Tokenization
  
  Tao Yang, Yuwang Wang, Yan Lu, Nanning Zheng
- Unpacking Reward Shaping: Understanding the Benefits of Reward Engineering on Sample Complexity
  
  Abhishek Gupta, Aldo Pacchiano, Yuexiang Zhai, Sham Kakade, Sergey Levine
- On the Statistical Efficiency of Reward-Free Exploration in Non-Linear RL
  
  Jinglin Chen, Aditya Modi, Akshay Krishnamurthy, Nan Jiang, Alekh Agarwal
- Debiased Machine Learning without Sample-Splitting for Stable Estimators
  
  Qizhao Chen, Vasilis Syrgkanis, Morgane Austern
- The Power and Limitation of Pretraining-Finetuning for Linear Regression under Covariate Shift
  
  Jingfeng Wu, Difan Zou, Vladimir Braverman, Quanquan Gu, Sham Kakade
- Fault-Aware Neural Code Rankers
  
  Jeevana Priya Inala, Chenglong Wang, Mei Yang, Andres Codas, Mark Encarnación, Shuvendu Lahiri, Madan Musuvathi, Jianfeng Gao
- Peripheral Vision Transformer
  
  Juhong Min, Yucheng Zhao, Chong Luo, Minsu Cho
- RTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformer
  
  Jian Wang, Chenhui Gou, Qiman Wu, Haocheng Feng, Junyu Han, Errui Ding, Jingdong Wang
- M³ViT: Mixture-of-Experts Vision Transformer for Efficient Multi-task Learning with Model-Accelerator Co-design
  
  Hanxue Liang, Zhiwen Fan, Rishov Sarkar, Ziyu Jiang, Tianlong Chen, Yu Cheng, Cong Hao, Zhangyang Wang
- Risk Bounds of Multi-Pass SGD for Least Squares in the Interpolation Regime
  
  Difan Zou, Jingfeng Wu, Vladimir Braverman, Quanquan Gu, Sham Kakade
- Understanding the Eluder Dimension
  
  Gene Li, Pritish Kamath, Dylan Foster, Nathan Srebro
- Online Algorithms for the Santa Claus Problem
  
  MohammadTaghi Hajiaghayi, MohammadReza Khani, Debmalya Panigrahi, Max Springer
- Best of Both Worlds Model Selection
  
  Aldo Pacchiano, Christoph Dann, Claudio Gentile
- LogiGAN: Learning Logical Reasoning via Adversarial Pre-training
  
  Xinyu Pi, Wanjun Zhong, Yan Gao, Nan Duan, Jian-Guang Lou
- Learning Modular Simulations for Homogeneous Systems
  
  Jayesh K. Gupta, Sai Vemprala, Ashish Kapoor
- FocalNet: Focal Modulation Networks
  
  Jianwei Yang, Chunyuan Li, Jianfeng Gao
- Discovering Design Concepts for CAD Sketches
  
  Yuezhi Yang, Hao Pan
- FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning
  
  Tao Qi, Fangzhao Wu, Chuhan Wu, Lingjuan Lyu, Tong Xu, Hao Liao, Zhongliang Yang, Yongfeng Huang, Xing Xie
- Robustness Analysis of Video-Language Models Against Visual and Language Perturbations
  
  Madeline C. Schiappa, Shruti Vyas, Hamid Palangi, Yogesh S. Rawat, Vibhav Vineet
16:00 – 18:00 Poster session

Poster Session 4

Spotlight Sessions: December 7 and December 8
관련 출판물
- Interaction-Grounded Learning with Action-Inclusive Feedback
  
  Tengyang Xie, Akanksha Saran, Dylan J Foster, Lekan P Molu, Ida Momennejad, Nan Jiang, Paul Mineiro, John Langford
- Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning
  
  Weicong Liang, Yuhui Yuan, Henghui Ding, Xiao Luo, Weihong Lin, Ding Jia, Zheng Zhang, Chao Zhang, Han Hu
- BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis
  
  Yichong Leng, Zehua Chen, Junliang Guo, Haohe Liu, Jiawei Chen, Xu Tan, Danilo Mandic, Lei He, Xiangyang Li,, Tao Qin, Sheng Zhao, Tie-Yan Liu
- CATER: Intellectual Property Protection on Text Generation APIs via Conditional Watermarks
  
  Xuanli He, Qiongkai Xu, Yi Zeng, Lingjuan Lyu, Fangzhao Wu, Jiwei Li, Ruoxi Jia
- Bootstrapped Transformer for Offline Reinforcement Learning
  
  Kerong Wang, Hanye Zhao, Xufang Luo, Kan Ren, Weinan Zhang, Dongsheng Li
- Maximizing and Satisficing in Multi-armed Bandits with Graph Information
- Symbolic Distillation for Learned TCP Congestion Control
  
  S P Sharan, Wenqing Zheng, Kuo-Feng Hsu, Jiarong Xing, Ang Chen, Zhangyang Wang
- Diffusion Models as Plug-and-Play Priors
  
  Alexandros Graikos, Nikolay Malkin, Nebojsa Jojic, Dimitris Samaras
- Exploring evolution-based & -free protein language models as protein function predictors
  
  Mingyang Hu, Fajie Yuan, Kevin Yang, Fusong Ju, Jin Sun, Hui Wang, Fei Yang, Qiuyang Ding
- Recurrent Convolutional Neural Networks Learn Succinct Learning Algorithms
  
  Surbhi Goel, Sham Kakade, Adam Tauman Kalai, Cyril Zhang
- MACE: Higher Order Equivariant Message Passing Neural Networks for Fast and Accurate Force Fields
  
  Ilyes Batatia, Dávid Péter Kovács, Gregor Simm, Christoph Ortner, Gábor Csányi
- Visual Clues: Bridging Vision and Language Foundations for Image Paragraph Captioning
  
  Yujia Xie, Luowei Zhou, Xiyang Dai, Lu Yuan, Nguyen Bach, Ce Liu, Michael Zeng
- Language Models with Image Descriptors are Strong Few-Shot Video-Language Learners
  
  Zhenhailong Wang, Manling Li, Ruochen Xu, Luowei Zhou, Jie Lei, Xudong Lin, Shuohang Wang, Ziyi Yang, Chenguang Zhu, Derek Hoiem, Shih-Fu Chang, Mohit Bansal, Heng Ji
- USB: A Unified Semi-supervised Learning Benchmark for Classification
  
  Yidong Wang, Hao Chen, Yue Fan, Wang Sun, Ran Tao, Wenxin Hou, Renjie Wang, Linyi Yang, Zhi Zhou, Lan-Zhe Guo, Heli Qi, Zhen Wu, Yu-Feng Li, Satoshi Nakamura, Wei Ye, Marios Savvides, Bhiksha Raj, Takahiro Shinozaki, Bernt Schiele, Jindong Wang, Xing Xie, Yue Zhang
- MoCapAct: A Multi-Task Dataset for Simulated Humanoid Control
  
  Nolan Wagener, Andrey Kolobov, Felipe Vieira Frujeri, Ricky Loynd, Ching-An Cheng, Matthew Hausknecht

11:00 – 13:00 Poster session

Poster Session 5

Spotlight Sessions: December 6, December 7, and December 8
관련 출판물
- Reinforcement Learning with Automated Auxiliary Loss Search
  
  Tairan He, Yuge Zhang, Kan Ren, Minghuan Liu, Che Wang, Weinan Zhang, Yuqing Yang, Dongsheng Li
- A Neural Corpus Indexer for Document Retrieval
  
  Yujing Wang, Yingyan Hou, Haonan Wang, Ziming Miao, Shibin Wu, Hao Sun, Qi Chen, Yuqing Xia, Chengmin Chi, Guoshuai Zhao, Zheng Liu, Xing Xie, Hao Allen Sun, Weiwei Deng, Qi Zhang, Mao Yang
- Neuron with Steady Response Leads to Better Generalization
  
  Qiang Fu, Lun Du, Haitao Mao, Xu Chen, Wei Fang, Shi Han, Dongmei Zhang
- AutoDistil: Few-shot Task-agnostic Neural Architecture Search for Distilling Large Language Models
  
  Dongkuan Xu, Subhabrata (Subho) Mukherjee, Xiaodong Liu, Debadeepta Dey, Wenhui Wang, Xiang Zhang, Ahmed Awadallah, Jianfeng Gao
- Your Transformer May Not be as Powerful as You Expect
  
  Shengjie Luo, Shanda Li, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He
- Transcormer: Transformer for Sentence Scoring with Sliding Language Modeling
  
  Kaitao Song, Yichong Leng, Xu Tan, Yicheng Zou, Tao Qin, Dongsheng Li
- Partial Identification of Treatment Effects with Implicit Generative Models
  
  Vahid Balazadeh, Vasilis Syrgkanis, Rahul Gopal Krishnan
- Refined Dimension-Dependent Analysis for Private Convex Learning and Implications for Fine-Tuning
  
  Xuechen Li, Daogao Liu, Tatsunori Hashimoto, Huseyin Inan, Janardhan (Jana) Kulkarni, YinTat Lee, Abhradeep Guha Thakurta
- Why GANs are overkill for NLP
  
  David Alvarez-Melis, Vikas Garg, Adam Tauman Kalai
- Sparse Gaussian Process Hyperparameters: Optimize or Integrate?
  
  Wessel Bruinsma
- Learning General World Models in a Handful of Reward-Free Deployments
  
  Yingchen Xu, Jack Parker-Holder, Aldo Pacchiano, Philip J. Ball, Oleh Rybkin, Stephen J. Roberts, Tim Rocktäschel
- Non-Gaussian Tensor Programs
  
  Eugene Golikov, Greg Yang
- Rapid Model Architecture Adaption for Meta-Learning
  
  Yiren Zhao, Xitong Gao, Ilia Shumailov, Nicolo Fusi, Robert D. Mullins
- VLMo: Unified Vision-Language Pre-Training with Mixture-of-Modality-Experts
  
  Hangbo Bao, Wenhui Wang, Li Dong, Qiang Liu, Owais Khan Mohammed, Kriti Aggarwal, Subhojit Som, Furu Wei
- The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup for Training GPT Models
  
  Conglong Li, Minjia Zhang, Yuxiong He
- Does Momentum Change the Implicit Regularization on Separable Data?
  
  Bohan Wang, Qi Meng, Huishuai Zhang, Ruoyu Sun, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu
- NUWA-Infinity: Autoregressive over Autoregressive Generation for Infinite Visual Synthesis
  
  Chenfei Wu, Jian Liang, Xiaowei Hu, Zhe Gan, Jianfeng Wang, Lijuan Wang, Zicheng Liu, Yuejian Fang, Nan Duan
- Near-Optimal Correlation Clustering with Privacy
  
  Vincent Cohen-Addad, Chenglin Fan, Silvio Lattanzi, Slobodan Mitrović, Ashkan Norouzi-Fard, Nikos Parotsidis, Jakub Tarnawski
- High-dimensional Asymptotics of Feature Learning: How One Gradient Step Improves the Representation
  
  Jimmy Ba, Murat A Erdogdu, Taiji Suzuki, Zhichao Wang, Denny Wu, Greg Yang
- Hidden Progress in Deep Learning: SGD Learns Parities Near the Computational Limit
  
  Boaz Barak, Benjamin L. Edelman, Surbhi Goel, Sham M. Kakade, Eran Malach, Cyril Zhang
- OpenFWI: Large-scale Multi-structural Benchmark Datasets for Full Waveform Inversion
  
  Chengyuan Deng, Shihang Feng, Hanchen Wang, Xitong Zhang, Peng Jin, Yinan Feng, Qili Zeng, Yinpeng Chen, Youzuo Lin
16:00 – 18:00 Poster session

Poster Session 6

Panel Session: December 6

Spotlight Sessions: December 7 and December 8
관련 출판물
- ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models
  
  Chunyuan Li, Haotian Liu, Liunian Harold Li, Pengchuan Zhang, Jyoti Aneja, Jianwei Yang, Ping Jin, Yong Jae Lee, Houdong Hu, Zicheng Liu, Jianfeng Gao
- Two-Stream Network for Sign Language Recognition and Translation
  
  Yutong Chen, Ronglai Zuo, Fangyun Wei, Yu Wu, Shujie Liu, Brian Mak
- AniFaceGAN: Animatable 3D-Aware Face Image Generation for Video Avatars
  
  Yue Wu, Yu Deng, Jiaolong Yang, Fangyun Wei, Qifeng Chen, Xin Tong
- ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers
  
  Zhewei Yao, Reza Yazdani Aminabadi, Minjia Zhang, Xiaoxia Wu, Conglong Li, Yuxiong He (yuxhe)
- K-LITE: Learning Transferable Visual Models with External Knowledge
  
  Sheng Shen, Chunyuan Li, Xiaowei Hu, Yujia Xie, Jianwei Yang, Pengchuan Zhang, Zhe Gan, Lijuan Wang, Lu Yuan, Ce Liu, Kurt Keutzer, Trevor Darrell, Anna Rohrbach, Jianfeng Gao
- When does return-conditioned supervised learning work for offline reinforcement learning?
  
  David Brandfonbrener, Alberto Bietti, Jacob Buckman, Romain Laroche, Joan Bruna
- Riemannian Diffusion Models
  
  Chin-Wei Huang, Milad Aghajohari, Avishek Joey Bose, Prakash Panangaden, Aaron Courville
- Simultaneous Missing Value Imputation and Structure Learning with Groups
  
  Pablo Morales-Alvarez, Wenbo Gong, Angus Lamb, Simon Woodhead, Simon Peyton Jones, Nick Pawlowski, Miltos Allamanis, Cheng Zhang
- Repairing Neural Networks by Leaving the Right Past Behind
  
  Ryutaro Tanno, Melanie Fernandez Pradier, Aditya Nori, Yingzhen Li
- Batch-Size Independent Regret Bounds for Combinatorial Semi-Bandits with Probabilistically Triggered Arms or Independent Arms
  
  Xutong Liu, Jinhang Zuo, Siwei Wang, Carlee Joe-Wong, John C.S. Lui, Wei Chen
- Coarse-to-Fine Vision-Language Pre-training with Fusion in the Backbone
  
  Zi-Yi Dou, Aishwarya Kamath, Zhe Gan, Pengchuan Zhang, Jianfeng Wang, Linjie Li, Zicheng Liu, Ce Liu, Yann LeCun, Nanyun Peng, Jianfeng Gao, Lijuan Wang
- Nonlinear MCMC for Bayesian Machine Learning
  
  James Vuckovic
- Robust Generalized Method of Moments: A Finite Sample Viewpoint
  
  Dhruv Rohatgi, Vasilis Syrgkanis
- PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies
  
  Guocheng Qian, Yuchen Li, Houwen Peng, Jinjie Mai, Hasan Abed Al Kader Hammoud, Mohamed Elhoseiny, Bernard Ghanem
- SCAMPS: Synthetics for Camera Measurement of Physiological Signals
  
  Daniel McDuff, Jeremiah (Miah) Wander, Xin Liu, Brian L. Hill, Javier Hernandez, Jonathan Lester, Tadas Baltrusaitis
- BigBIO: A Framework for Data-Centric Biomedical Natural Language Processing
  
  Sid Kiblawi

07:30 – 17:45 Workshop

Second Workshop on Efficient Natural Language and Speech Processing (ENLSP-II)

Mehdi Rezagholizadeh, Peyman Passban, Yue Dong, Lili Mou, Pascal Poupart, Ali Ghodsi, Qun Liu
관련 출판물
- Topic Segmentation in the Wild: Towards Segmentation of Semi-structured & Unstructured Chats
  
  Reshmi Ghosh, Harjeet Singh Kajal, Sharanya Kamath, Dhuri Shrivastava, Samyadeep Basu, Soundararajan Srinivasan
08:00 – 18:00 Workshop

AI for Science: Progress and Promises

Yi Ding, Yuanqi Du, Tianfan Fu, Hanchen Wang, Anima Anandkumar, Yoshua Bengio, Anthony Gitter, Carla Gomes, Aviv Regev, Max Welling, Marinka Zitnik

Invited talks: David Baker, Weinan E, Tess Smidt, Shuiwang Ji, Jimeng Sun, Maria Schuld

Panelists: Peter Lee, Sara-Jane Dunn, Arvind Rajpal, Alexander Rives, Matt Welborn, Max Welling (Moderator)
08:30 – 17:45 Workshop

Table Representation Learning

Madelon Hulsebos, Haoyu Dong, Bojan Karlaš, Laurel Orr, Pengcheng Yin
관련 출판물
- CASPR: Customer Activity Sequence based Prediction and Representation
  
  Pin-Jung Chen, Sahil Bhatnagar, Damian Konrad Kowalczyk, Mayank Shrivastava
08:30 – 17:00 Workshop

Causal Machine Learning for Real-World Impact

Nick Pawlowski, Jeroen Berrevoets, Caroline Uhler, Kun Zhang, Mihaela van der Schaar, Cheng Zhang
08:30 – 17:00 Workshop

LaReL: Language and Reinforcement Learning

Laetitia Teodorescu, Laura Ruis, Tristan Karch, Cédric Colas, Paul Barde, Jelena Luketina, Athul Jacob, Pratyusha Sharma, Edward Grefenstette, Jacob Andreas, Marc-Alexandre Côté
09:00 – 18:00 Workshop

All Things Attention: Bridging Different Perspectives on Attention

Abhijat Biswas, Reuben Aronson, Khimya Khetarpal, Akanksha Saran, Ruohan Zhang, Grace Lindsay, Scott Niekum

Invited Speaker: Ida Momennejad

Panelist(s): Ida Momennejad, Cyril Zhang, John Langford
09:00 – 17:00 Workshop

NeurIPS 2022 Workshop on Score-Based Methods

Yingzhen Li, Yang Song, Valentin De Bortoli, Francois-Xavier Briol, Wenbo Gong, Alexia Jolicoeur-Martineau, Arash Vahdat

Panelist: Rianne van den Berg

08:15 – 17:00 Workshop

I Can’t Believe It’s Not Better: Understanding Deep Learning Through Empirical Falsification

Arno Blaas, Sahra Ghalebikesabi, Javier Antorán, Fan Feng, Melanie F. Pradier, Ian Mason, David Rohde

Panelist: Cheng Zhang

13:00 – 15:30 Tutorial

Algorithmic Fairness at the Intersection

Golnoosh Farnadi, Q.Vera Liao, Elliot Creager

05:00 – 08:00 Competition

Causal Insights for Learning Paths in Education

Wenbo Gong, Digory Smith, Jack Wang, Simon Woodhead, Nick Pawlowski, Joel Jennings, Cheng Zhang, Craig Barton
05:00 – 08:00 Competition

IGLU: Interactive Grounded Language Understanding in a Collaborative Environment

Julia Kiseleva, Alexey Skrynnik, Artem Zholus, Shrestha Mohanty, Negar Arabzadeh, Marc-Alexandre Côté, Mohammad Aliannejadi, Milagro Teruel, Ziming Li, Mikhail Burtsev, Maartje Anne ter Hoeve, Zoya Volovikova, Aleksandr Panov, Yuxuan Sun, Kavya Srinet, arthur szlam, Ahmed Awadallah
05:00 – 08:00 Competition

The MineRL BASALT Competition on Fine-tuning from Human Feedback

Anssi Kanervisto, Stephanie Milani, Karolis Ramanauskas, Byron Galbraith, Steven Wang, Brandon Houghton, Sharada Mohanty, Rohin Shah
11:00 – 13:00 Talk

Featured Papers Panels 1A

Poster Session: December 1
관련 출판물
- Why GANs are overkill for NLP
  
  David Alvarez-Melis, Vikas Garg, Adam Tauman Kalai
11:00 – 13:00 Talk

Featured Papers Panels 1B

Poster Sessions: November 29, November 30, and December 1
관련 출판물
- Probing Classifiers are Unreliable for Concept Removal and Detection
  
  Abhinav Kumar, Chenhao Tan, Amit Sharma
- Non-Gaussian Tensor Programs
  
  Eugene Golikov, Greg Yang
- Fault-Aware Neural Code Rankers
  
  Jeevana Priya Inala, Chenglong Wang, Mei Yang, Andres Codas, Mark Encarnación, Shuvendu Lahiri, Madan Musuvathi, Jianfeng Gao
- Gradient Estimation with Discrete Stein Operators
  
  Jiaxin Shi, Yuhao Zhou, Jessica Hwang, Michalis Titsias, Lester Mackey
19:00 – 21:00 Talk

Featured Papers Panels 2A

Poster Session: November 30
관련 출판물
- Could Giant Pre-trained Image Models Extract Universal Representations?
  
  Yutong Lin, Ze Liu, Zheng Zhang, Han Hu, Nanning Zheng, Stephen Lin, Yue Cao
- You Never Stop Dancing: Non-freezing Dance Generation via Bank-constrained Manifold Projection
  
  Jiangxin Sun, Chunyu Wang, Huang Hu, Hanjiang Lai, Zhi Jin, Jian-Fang Hu
- RTFormer: Efficient Design for Real-Time Semantic Segmentation with Transformer
  
  Jian Wang, Chenhui Gou, Qiman Wu, Haocheng Feng, Junyu Han, Errui Ding, Jingdong Wang
19:30 – 19:45 Panel

Featured Papers Panels 2C-3

Tejaswi Kasarla, Shubhanshu Shekhar

Poster Session: November 29
관련 출판물
- Maximum Class Separation as Inductive Bias in One Matrix
  
  Tejaswi Kasarla, Gertjan J. Burghouts, Max van Spengler, Elise van der Pol, Rita Cucchiara, Pascal Mettes
19:45 – 20:00 Panel

Featured Papers Panels 2C-4

Chunyuan Li, André Susano Pinto

Poster Session: December 1
관련 출판물
- K-LITE: Learning Transferable Visual Models with External Knowledge
  
  Sheng Shen, Chunyuan Li, Xiaowei Hu, Yujia Xie, Jianwei Yang, Pengchuan Zhang, Zhe Gan, Lijuan Wang, Lu Yuan, Ce Liu, Kurt Keutzer, Trevor Darrell, Anna Rohrbach, Jianfeng Gao
20:45 – 21:00 Panel

Featured Papers Panels 2B-4

Cem Anil, Minjia Zhang

Poster Session: November 29
관련 출판물
- Extreme Compression for Pre-trained Transformers Made Simple and Efficient
  
  Xiaoxia Wu, Zhewei Yao, Minjia Zhang, Conglong Li, Yuxiong He

07:00 – 10:00 Competition

Reconnaissance Blind Chess: An Unsolved Challenge for Multi-Agent Decision Making Under Uncertainty

Ryan Gardner, Gino Perrotta, Corey Lowman, Casey Richardson, Andrew Newman, Jared Markowitz, Nathan Drenkow, Bart Paulhamus, Ashley J Llorens, Todd Neller, Raman Arora, Bo Li, Mykel J Kochenderfer
11:15 – 11:30 Panel

Featured Papers Panels 3B-1

Tianyu Cui, Tim Pearce

Poster Session: November 29
관련 출판물
- Censored Quantile Regression Neural Networks for Distribution-Free Survival Analysis
  
  Tim Pearce, Jong-Hyeon Jeong, Yichen Jia, Jun Zhu
19:00 – 21:00 Talk

Featured Papers Panels 4A

Poster Session: December 1
관련 출판물
- Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret
  
  Jiawei Huang, Li Zhao, Tao Qin, Wei Chen, Nan Jiang, Tie-Yan Liu
- Does Momentum Change the Implicit Regularization on Separable Data?
  
  Bohan Wang, Qi Meng, Huishuai Zhang, Ruoyu Sun, Wei Chen, Zhi-Ming Ma, Tie-Yan Liu
19:00 – 21:00 Talk

Featured Papers Panels 4B

Poster Sessions: November 30 and December 1
관련 출판물
- ELEVATER: A Benchmark and Toolkit for Evaluating Language-Augmented Visual Models
  
  Chunyuan Li, Haotian Liu, Liunian Harold Li, Pengchuan Zhang, Jyoti Aneja, Jianwei Yang, Ping Jin, Yong Jae Lee, Houdong Hu, Zicheng Liu, Jianfeng Gao
- AniFaceGAN: Animatable 3D-Aware Face Image Generation for Video Avatars
  
  Yue Wu, Yu Deng, Jiaolong Yang, Fangyun Wei, Qifeng Chen, Xin Tong
- BinauralGrad: A Two-Stage Conditional Diffusion Probabilistic Model for Binaural Audio Synthesis
  
  Yichong Leng, Zehua Chen, Junliang Guo, Haohe Liu, Jiawei Chen, Xu Tan, Danilo Mandic, Lei He, Xiangyang Li,, Tao Qin, Sheng Zhao, Tie-Yan Liu
- OmniVL: One Foundation Model for Image-Language and Video-Language Tasks
  
  Junke Wang, Dongdong Chen, Zuxuan Wu, Chong Luo, Luowei Zhou, Yucheng Zhao, Yujia Xie, Ce Liu, Yu-Gang Jiang, Lu Yuan

11:00 – 13:00 Talk

Featured Papers Panels 5B

Poster Sessions: November 29, November 30, and December 1
관련 출판물
- The Stability-Efficiency Dilemma: Investigating Sequence Length Warmup for Training GPT Models
  
  Conglong Li, Minjia Zhang, Yuxiong He
- LiteTransformerSearch: Training-free On-device Search for Efficient Autoregressive Language Models
  
  Mojan Javaheripi, Shital Shah, Subhabrata (Subho) Mukherjee, Tomasz L. Religa, Caio C. T. Mendes, Gustavo H. de Rosa, Sébastien Bubeck, Farinaz Koushanfar, Debadeepta Dey
- FocalNet: Focal Modulation Networks
  
  Jianwei Yang, Chunyuan Li, Jianfeng Gao
- Visual Concepts Tokenization
  
  Tao Yang, Yuwang Wang, Yan Lu, Nanning Zheng
- Discovering Design Concepts for CAD Sketches
  
  Yuezhi Yang, Hao Pan
11:15 – 11:30 Panel

Featured Papers Panels 5B-1

Sitan Chen, Yixin Tan

Poster Session: November 29
관련 출판물
- Learning (Very) Simple Generative Models Is Hard
  
  Sitan Chen, Jerry Li, Yuanzhi Li
12:45 – 13:00 Panel

Featured Papers Panels 5A-4

Kaiyang Guo, Micah Carroll

Poster Session: November 30
관련 출판물
- Uni[MASK]: Unified Inference in Sequential Decision Problems
  
  Micah Carroll, Orr Paradise, Jessy Lin, Raluca Georgescu, Mingfei Sun, Dave Bignell, Stephanie Milani, Katja Hofmann, Matthew Hausknecht, Anca Dragan, Sam Devlin
19:00 – 21:00 Talk

Featured Papers Panels 6A

Poster Sessions: November 29 and December 1
관련 출판물
- Museformer: Transformer with Fine- and Coarse-Grained Attention for Music Generation
  
  Botao Yu, Peiling Lu, Rui Wang, Wei Hu, Xu Tan, Wei Ye, Shikun Zhang, Tao Qin, Tie-Yan Liu
- Two-Stream Network for Sign Language Recognition and Translation
  
  Yutong Chen, Ronglai Zuo, Fangyun Wei, Yu Wu, Shujie Liu, Brian Mak
19:00 – 21:00 Talk

Featured Papers Panels 6B

Poster Sessions: November 30 and December 1
관련 출판물
- ZeroQuant: Efficient and Affordable Post-Training Quantization for Large-Scale Transformers
  
  Zhewei Yao, Reza Yazdani Aminabadi, Minjia Zhang, Xiaoxia Wu, Conglong Li, Yuxiong He (yuxhe)
- Expediting Large-Scale Vision Transformer for Dense Prediction without Fine-tuning
  
  Weicong Liang, Yuhui Yuan, Henghui Ding, Xiao Luo, Weihong Lin, Ding Jia, Zheng Zhang, Chao Zhang, Han Hu
- Quantized Training of Gradient Boosted Decision Trees
  
  Yu Shi, Guolin Ke, Zhuoming Chen, Shuxin Zheng, Tie-Yan Liu
19:45 – 20:00 Panel

Featured Papers Panels 4A-2

Ayush Sekhari, Blair Bilodeau

Poster Session: November 29
관련 출판물
- On the Complexity of Adversarial Decision Making
  
  Dylan J Foster, Alexander Rakhlin, Ayush Sekhari, Karthik Sridharan

07:00 – 14:00 Workshop

NeurIPS 2022 Workshop Virtual Proposal: HCAI@NeurIPS 2022, Human Centered AI

Michael Muller, Plamen P Angelov, Hal Daumé III, Shion Guha, Q.Vera Liao, Nuria Oliver, David Piorkowski
07:00 – 16:00 Workshop

Learning Meaningful Representations of Life

Elizabeth Wood, Adji Bousso Dieng, Aleksandrina Goeva, Alex X Lu, Anshul Kundaje, Chang Liu, Debora Marks, Ed Boyden, Eli N Weinstein, Lorin Crawford, Mor Nitzan, Rebecca Boiarsky, Romain Lopez, Tamara Broderick, Ray Jones, Wouter Boomsma, Yixin Wang
09:00 – 20:00 Workshop

Tackling Climate Change with Machine Learning

Peetak Mitra, Maria João Sousa, Mark Roth, Jan Drgona, Emma Strubell, Yoshua Bengio

Mentors: Lester Mackey, Sadid Hasan

Program Committee: Konstantin Klemmer, Lester Mackey
관련 출판물
- Causal Modeling of Soil Processes for Improved Generalization
  
  Somya Sharma, Swati Sharma, Andy Neal, Sara Malvar, Eduardo Rodrigues, John Crawford, Emre Kiciman, Ranveer Chandra
- Industry-scale CO2 Flow Simulations with Model-Parallel Fourier Neural Operators
  
  Philipp Witte, Russell Hewett, Ranveer Chandra
- Adaptive Bias Correction for Improved Subseasonal Forecasting
  
  Soukayna Mouatadid, Paulo Orenstein, Genevieve Flaspohler, Judah Cohen, Miruna Oprescu, Ernest Fraenkel, Lester Mackey
- Surrogate Modeling for Methane Dispersion Simulations Using Fourier Neural Operator
  
  Qie Zhang, Micro Milletari, Yagna Oruganti, Philipp Witte

Microsoft at NeurIPS 2022

Monday, November 28, 2022

Tuesday, November 29, 2022

Poster Session 1

Poster Session 2

RL Social

Wednesday, November 30, 2022

Poster Session 3

Poster Session 4

Thursday, December 1, 2022

Poster Session 5

Poster Session 6

Friday, December 2, 2022

Saturday, December 3, 2022

Monday, December 5, 2022

Tuesday, December 6, 2022

Featured Papers Panels 1A

Featured Papers Panels 1B

Featured Papers Panels 2A

Featured Papers Panels 2C-3

Featured Papers Panels 2C-4

Featured Papers Panels 2B-4

Wednesday, December 7, 2022

Reconnaissance Blind Chess: An Unsolved Challenge for Multi-Agent Decision Making Under Uncertainty

Featured Papers Panels 3B-1

Featured Papers Panels 4A

Featured Papers Panels 4B

Thursday, December 8, 2022

Featured Papers Panels 5B

Featured Papers Panels 5B-1

Featured Papers Panels 5A-4

Featured Papers Panels 6A

Featured Papers Panels 6B

Featured Papers Panels 4A-2

Friday, December 9, 2022