hunoutl/paperlists huggingface dataset:
Title: Predicting mutational effects on protein-protein binding via a side-chain diffusion probabilistic model
Authors: Shiwei Liu, Tian Zhu, Milong Ren, Chungong Yu, Dongbo Bu, Haicang Zhang
Affiliations: Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100080, China; University of Chinese Academy of Sciences, Beijing 100080, China; Institute of Computing Technology, Chinese Academy of Sciences, Beijing 100080, China; University of Chinese Academy of Sciences, Beijing 100080, China; Central China Research Institute for Artiﬁcial Intelligence Technologies, Zhengzhou 450046, China
Conference: nips 2023 (main track)
Keywords: Riemannian Diffusion Probabilistic Model;Mutation;Protein-protein binding
Decision: Poster
Title: Large Language Models Are Latent Variable Models: Explaining and Finding Good Demonstrations for In-Context Learning
Authors: Xinyi Wang, Wanrong Zhu, Michael Saxon, Mark Steyvers, William Yang Wang
Affiliations: Department of Computer Science, University of California, Santa Barbara; Department of Cognitive Sciences, University of California, Irvine
Conference: nips 2023 (main track)
Keywords: Large language models;Bayesian explanation;in-context learning
Decision: Poster
Title: Regularity as Intrinsic Reward for Free Play
Authors: Cansu Sancaktar, Justus Piater, Georg Martius
Affiliations: University of Innsbruck, Austria; University of Tübingen, Germany; Max Planck Institute for Intelligent Systems, Germany
Conference: nips 2023 (main track)
Keywords: Intrinsic Motivation;Reinforcement Learning;Model-based Planning;Regularity;Manipulation;Zero-shot Generalization;Unsupervised Exploration
Decision: Poster
Title: ToolkenGPT: Augmenting Frozen Language Models with Massive Tools via Tool Embeddings
Authors: Shibo Hao, Tianyang Liu, Zhen Wang, Zhiting Hu
Affiliations: UC San Diego; UC San Diego, Mohamed bin Zayed University of Artificial Intelligence
Conference: nips 2023 (main track)
Keywords: large language model;tool learning
Decision: Oral
Title: An Improved Relaxation for Oracle-Efficient Adversarial Contextual Bandits
Authors: Kiarash Banihashem, MohammadTaghi Hajiaghayi, Suho Shin, Max Springer
Affiliations: University of Maryland, College Park
Conference: nips 2023 (main track)
Keywords: contextual bandits;adversarial bandits;oracle-efficient online learning
Decision: Poster
Title: Flow: Per-instance Personalized Federated Learning
Authors: Kunjal Panchal, Sunav Choudhary, Nisarg Parikh, Lijun Zhang, Hui Guan
Affiliations: Khoury College of Computer Sciences, Northeastern University, Boston, MA 02115; College of Information and Computer Sciences, University of Massachusetts, Amherst, Amherst, MA 01003; Adobe Research, Bangalore, India
Conference: nips 2023 (main track)
Keywords: federated learning;personalization;statistical heterogeneity;dynamic routing
Decision: Poster
Title: Recommender Systems with Generative Retrieval
Authors: Shashank Rajput, Nikhil Mehta, Anima Singh, Raghunandan Hulikal Keshavan, Trung Vu, Lukasz Heldt, Lichan Hong, Yi Tay, Vinh Tran, Jonah Samost, Maciej Kula, Ed Chi, Maheswaran Sathiamoorthy
Affiliations: University of Wisconsin-Madison; Google; Google DeepMind
Conference: nips 2023 (main track)
Keywords: Recommender Systems;Generative Retrieval;Vector Quantization
Decision: Poster
Title: Outlier-Robust Gromov-Wasserstein for Graph Data
Authors: Lemin Kong, Jiajin Li, Jianheng Tang, Anthony Man-Cho So
Affiliations: Stanford University; HKUST; CUHK
Conference: nips 2023 (main track)
Keywords: Gromov Wasserstein;Robust Optimization;Nonconvex Optimization
Decision: Spotlight
Title: Fast Model DeBias with Machine Unlearning
Authors: Ruizhe Chen, Jianfei Yang, Huimin Xiong, Jianhong Bai, Tianxiang Hu, Jin Hao, YANG FENG, Joey Tianyi Zhou, Jian Wu, Zuozhu Liu
Affiliations: Centre for Frontier AI Research; Stanford University; Nanyang Technological University; Angelalign Technology Inc.; Zhejiang University
Conference: nips 2023 (main track)
Keywords: Model Debias;Bias Mitigation;Machine Unlearning;Counterfactual Fairness
Decision: Poster
Title: VisoGender: A dataset for benchmarking gender bias in image-text pronoun resolution
Authors: Siobhan Mackenzie Hall, Fernanda Gonçalves Abrantes, Hanwen Zhu, Grace Sodunke, Aleksandar Shtedritski, Hannah Rose Kirk
Affiliations: Oxford Artificial Intelligence Society, University of Oxford
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: fairness;vision-language;bias;benchmark
Decision: Poster
Title: Uncovering and Quantifying Social Biases in Code Generation
Authors: Yan Liu, Xiaokang Chen, Yan Gao, Zhe Su, Fengji Zhang, Daoguang Zan, Jian-Guang Lou, Pin-Yu Chen, Tsung-Yi Ho
Affiliations: Institute of Software, Chinese Academy of Sciences; Peking University; IBM Research; Microsoft Research; The Chinese University of Hong Kong
Conference: nips 2023 (main track)
Keywords: Social Bias;Code Fairness
Decision: Poster
Title: Identifiable Contrastive Learning with Automatic Feature Importance Discovery
Authors: Qi Zhang, Yifei Wang, Yisen Wang
Affiliations: School of Mathematical Sciences, Peking University; National Key Lab of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University; Institute for Artificial Intelligence, Peking University
Conference: nips 2023 (main track)
Keywords: Self-supervised Learning;Contrastive Learning;Identifiability;Representation Learning
Decision: Poster
Title: BoardgameQA: A Dataset for Natural Language Reasoning with Contradictory Information
Authors: Mehran Kazemi, Quan Yuan, Deepti Bhatia, Najoung Kim, Xin Xu, Vaiva Imbrasaite, Deepak Ramachandran
Affiliations: Google Research
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: natural language reasoning;defeasible reasoning;large language models
Decision: Poster
Title: Optimal privacy guarantees for a relaxed threat model: Addressing sub-optimal adversaries in differentially private machine learning
Authors: Georgios Kaissis, Alexander Ziller, Stefan Kolek, Anneliese Riess, Daniel Rueckert
Affiliations: Machine Learning in Biomedical Imaging, Helmholtz Munich, Neuherberg, Germany; Mathematical Foundations of AI, LMU Munich, Munich, Germany; AI in Medicine and Healthcare, Technical University of Munich, Munich, Germany
Conference: nips 2023 (main track)
Keywords: Differential Privacy;Membership Inference Attack;Hypothesis Testing;Data Reconstruction Attack;Security
Decision: Poster
Title: BQ-NCO: Bisimulation Quotienting for Efficient Neural Combinatorial Optimization
Authors: Darko Drakulic, Sofia Michel, Florian Mai, Arnaud Sors, Jean-Marc Andreoli
Affiliations: Naver Labs Europe; IDIAP Research Institute, Work done during an internship at Naver Labs Europe
Conference: nips 2023 (main track)
Keywords: Combinatorial Optimization;Markov Decision Processes;Bisimulation;Policy Learning;Out-of-Distribution Generalization;Routing Problems;TSP;CVRP;KP.
Decision: Poster
Title: Greedy Pruning with Group Lasso Provably Generalizes for Matrix Sensing
Authors: Nived Rajaraman, Fnu Devvrit, Aryan Mokhtari, Kannan Ramchandran
Affiliations: ECE Department, The University of Texas at Austin; EECS Department, University of California, Berkeley; CS Department, The University of Texas at Austin
Conference: nips 2023 (main track)
Keywords: Greedy Pruning; Matrix Sensing; Lasso regularization
Decision: Poster
Title: From Cloze to Comprehension: Retrofitting Pre-trained Masked Language Models to Pre-trained Machine Reader
Authors: Weiwen Xu, Xin Li, Wenxuan Zhang, Meng Zhou, Wai Lam, Luo Si, Lidong Bing
Affiliations: Carnegie Mellon University; The Chinese University of Hong Kong; DAMO Academy, Alibaba Group
Conference: nips 2023 (main track)
Keywords: Machine Reading Comprehension;Pre-training;Natural Language Understanding
Decision: Poster
Title: Mip-Grid: Anti-aliased Grid Representations for Neural Radiance Fields
Authors: Seungtae Nam, Daniel Rho, Jong Hwan Ko, Eunbyung Park
Affiliations: Department of Artificial Intelligence, Sungkyunkwan University; AI2XL, KT; Department of Electrical and Computer Engineering, Sungkyunkwan University
Conference: nips 2023 (main track)
Keywords: Novel view synthesis;Neural radiance fields
Decision: Poster
Title: Offline Multi-Agent Reinforcement Learning with Implicit Global-to-Local Value Regularization
Authors: Xiangsen Wang, Haoran Xu, Yinan Zheng, Xianyuan Zhan
Affiliations: Tsinghua University, Shanghai Artificial Intelligence Laboratory; Beijing Jiaotong University; UT Austin; Tsinghua University
Conference: nips 2023 (main track)
Keywords: Offline reinforcement learning; multi-agent reinforcement learning; multi-agent cooperation
Decision: Poster
Title: Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate Targets
Authors: Anirudhan Badrinath, Yannis Flet-Berliac, Allen Nie, Emma Brunskill
Affiliations: Department of Computer Science, Stanford University
Conference: nips 2023 (main track)
Keywords: offline reinforcement learning;reinforcement learning via supervised learning;behavioral cloning
Decision: Poster
Title: LANCE: Stress-testing Visual Models by Generating Language-guided Counterfactual Images
Authors: Viraj Prabhu, Sriram Yenamandra, Sriram Yenamandra, Prithvijit Chattopadhyay, Judy Hoffman
Affiliations: Georgia Institute of Technology
Conference: nips 2023 (main track)
Keywords: image classification;robustness;guided diffusion models;counterfactuals
Decision: Poster
Title: The Contextual Lasso: Sparse Linear Models via Deep Neural Networks
Authors: Ryan Thompson, Amir Dezfouli, robert kohn
Affiliations: University of New South Wales; BIMLOGIQ; University of New South Wales; CSIRO’s Data61
Conference: nips 2023 (main track)
Keywords: feature selection;sparsity;sparse regression;varying coefficients;deep learning
Decision: Poster
Title: MG-ViT: A Multi-Granularity Method for Compact and Efficient Vision Transformers
Authors: Yu Zhang, Yepeng Liu, Duoqian Miao, Qi Zhang, Yiwei Shi, Liang Hu
Affiliations: University of Florida; University of Bristol; Tongji University
Conference: nips 2023 (main track)
Keywords: Efficient AI;Vision Transformer;Image Classification;Multi-Granularity;Three-Way Decisions.
Decision: Poster
Title: Zero-shot causal learning
Authors: Hamed Nilforoshan, Michael Moor, Yusuf Roohani, Yining Chen, Anja Šurina, Michihiro Yasunaga, Sara Oblak, Jure Leskovec
Affiliations: Department of Biomedical Data Science, Stanford University; Department of Computer Science, Stanford University; School of Computer and Communication Sciences, EPFL; Department of Computer Science, University of Ljubljana
Conference: nips 2023 (main track)
Keywords: causal inference;CATE;CATE estimation;causal machine learning;causal ML;heterogenous treatment effects;causality;potential outcomes;treatment effect
Decision: Spotlight
Title: AVIDa-hIL6: A Large-Scale VHH Dataset Produced from an Immunized Alpaca for Predicting Antigen-Antibody Interactions
Authors: Hirofumi Tsuruta, Hiroyuki Yamazaki, Ryota Maeda, Ryotaro Tamura, Jennifer Wei, Zelda Mariet, Poomarin Phloyphisut, Hidetoshi Shimokawa, Joseph R. Ledsam, Lucy Colwell, Akihiro Imura
Affiliations: Google LLC; COGNANO Inc.
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: antibody;antigen-antibody interaction;drug discovery;VHH;immunization;machine learning
Decision: Poster
Title: A normative theory of social conflict
Authors: Sergey Shuvaev, Evgeny Amelchenko, Dmitry Smagin, Natalia Kudryavtseva, Grigori Enikolopov, Alex Koulakov
Affiliations: Cold Spring Harbor Laboratory, Cold Spring Harbor, NY, USA; Department of Anesthesiology and Center for Developmental Genetics, Stony Brook University, Stony Brook, NY, USA; Institute of Cytology and Genetics, Siberian Branch of Russian Academy of Sciences, Novosibirsk, Russia
Conference: nips 2023 (main track)
Keywords: neuroscience;decision-making;normative modeling;game theory;Bayesian methods;POMDP;inverse rational control;belief;theory of mind
Decision: Poster
Title: Learning to Discover Skills through Guidance
Authors: HYUNSEUNG KIM, BYUNG KUN LEE, Hojoon Lee, Dongyoon Hwang, Sejik Park, Kyushik Min, Jaegul Choo
Affiliations: KAKAO Corp.; Kim Jaechul Graduate School of AI, KAIST
Conference: nips 2023 (main track)
Keywords: Unsupervised skill discovery;Reinforcement Learning
Decision: Poster
Title: Koopman Kernel Regression
Authors: Petar Bevanda, Max Beier, Armin Lederer, Stefan Sosnowski, Eyke Hüllermeier, Sandra Hirche
Affiliations: LMU Munich; TU Munich
Conference: nips 2023 (main track)
Keywords: Kernel Methods;Regression;Statistical Learning Theory;Koopman Operator;Mode Decomposition;Dynamical Systems;Supervised Learning
Decision: Poster
Title: A Computationally Efficient Sparsified Online Newton Method
Authors: Fnu Devvrit, Sai Surya Duvvuri, Rohan Anil, Vineet Gupta, Cho-Jui Hsieh, Inderjit Dhillon
Affiliations: Department of Computer Science, The University of Texas at Austin; Google; Google DeepMind; CS Department, UCLA & Google
Conference: nips 2023 (main track)
Keywords: Optimization;Second order methods; Deep Learning
Decision: Poster
Title: Designing Robust Transformers using Robust Kernel Density Estimation
Authors: Xing Han, Tongzheng Ren, Tan Nguyen, Khai Nguyen, Joydeep Ghosh, Nhat Ho
Affiliations: Department of Computer Science, University of Texas at Austin; Department of Statistics and Data Sciences, University of Texas at Austin; Department of ECE, University of Texas at Austin; Department of Mathematics, University of California, Los Angeles
Conference: nips 2023 (main track)
Keywords: Transformers;Kernel Density Estimation;Robustness
Decision: Poster
Title: SANFlow: Semantic-Aware Normalizing Flow for Anomaly Detection
Authors: Daehyun Kim, Sungyong Baik, Tae Hyun Kim
Affiliations: Dept. of Artificial Intelligence, Hanyang University; Dept. of Computer Science, Hanyang University; Dept. of Data Science, Hanyang University
Conference: nips 2023 (main track)
Keywords: Anomaly Detection;Visual Anomaly Detection;Computer Vision;Normalizing Flow;Anomaly Localization
Decision: Poster
Title: Augmenting Language Models with Long-Term Memory
Authors: Weizhi Wang, Li Dong, Hao Cheng, Xiaodong Liu, Xifeng Yan, Jianfeng Gao, Furu Wei
Affiliations: University of California, Santa Barbara; Microsoft Research
Conference: nips 2023 (main track)
Keywords: large language models;long-term memory;long-text modeling and understanding;residual side-network;in-context learning
Decision: Poster
Title: Incomplete Multimodality-Diffused Emotion Recognition
Authors: Yuanzhi Wang, Yong Li, Zhen Cui
Affiliations: PCA Lab, Key Lab of Intelligent Perception and Systems for High-Dimensional Information of Ministry of Education, School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China.
Conference: nips 2023 (main track)
Keywords: Multimodal emotion recognition;Incomplete multimodalities
Decision: Poster
Title: Self-Evaluation Guided Beam Search for Reasoning
Authors: Yuxi Xie, Kenji Kawaguchi, Yiran Zhao, James Xu Zhao, Min-Yen Kan, Junxian He, Michael Xie
Affiliations: National University of Singapore; The Hong Kong University of Science and Technology
Conference: nips 2023 (main track)
Keywords: Large Language Models;Multistep Reasoning;Stochastic Beam Search;LLM Self-Evaluation
Decision: Poster
Title: Lookup Table meets Local Laplacian Filter: Pyramid Reconstruction Network for Tone Mapping
Authors: Feng Zhang, Ming Tian, Zhiqiang Li, Bin Xu, Qingbo Lu, Changxin Gao, Nong Sang
Affiliations: National Key Laboratory of Multispectral Information Intelligent Processing Technology, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology; National Key Laboratory of Multispectral Information Intelligent Processing Technology, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Hubei Key Laboratory of Brain-inspired Intelligent Systems; DJI Technology Co., Ltd
Conference: nips 2023 (main track)
Keywords: tone mapping; learnable local laplacian filter; laplacian pyramid; 3D lookup table
Decision: Poster
Title: On the explainable properties of 1-Lipschitz Neural Networks: An Optimal Transport Perspective
Authors: Mathieu Serrurier, Franck Mamalet, Thomas FEL, Louis Béthune, Louis Béthune, Thibaut Boissin
Affiliations: Institut de Recherche Technologique Saint-Exupéry, Toulouse, France; Carney Institute for Brain Science, Brown University, USA; Université Paul-Sabatier, IRIT, Toulouse, France
Conference: nips 2023 (main track)
Keywords: 1-Lipschitz neural network;explicability
Decision: Poster
Title: Revisiting the Evaluation of Image Synthesis with GANs
Authors: mengping yang, Ceyuan Yang, Yichi Zhang, Qingyan Bai, Yujun Shen, Bo Dai
Affiliations: Shanghai AI Laboratory; Ant Group; Tsinghua University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Image Synthesis;Generative Models;Synthesis Measurement
Decision: Poster
Title: Dynamic Sparsity Is Channel-Level Sparsity Learner
Authors: Lu Yin, Gen Li, Meng Fang, Li Shen, Tianjin Huang, Zhangyang "Atlas" Wang, Vlado Menkovski, Xiaolong Ma, Mykola Pechenizkiy, Shiwei Liu, Shiwei Liu
Affiliations: University of Liverpool; University of Texas at Austin; JD Explore Academy; Clemson University; Eindhoven University of Technology
Conference: nips 2023 (main track)
Keywords: dynamic sparsity;dynamic sparse training;sparse training
Decision: Poster
Title: Self-Consistent Velocity Matching of Probability Flows
Authors: Lingxiao Li, Samuel Hurault, Justin Solomon
Affiliations: MIT CSAIL; Univ. Bordeaux, Bordeaux INP, CNRS, IMB
Conference: nips 2023 (main track)
Keywords: JKO;mass-conservation;PDE;Fokker-Planck;scalable;discretization-free;neural ODE
Decision: Poster
Title: Towards Label-free Scene Understanding by Vision Foundation Models
Authors: Runnan Chen, Youquan Liu, Lingdong Kong, Nenglun Chen, Xinge ZHU, Yuexin Ma, Tongliang Liu, Wenping Wang
Affiliations: The University of Hong Kong; The University of Sydney; ShanghaiTech University; National University of Singapore; Hochschule Bremerhaven; Texas A&M University; The Chinese University of Hong Kong
Conference: nips 2023 (main track)
Keywords: label-free;scene understanding
Decision: Poster
Title: Conservative Offline Policy Adaptation in Multi-Agent Games
Authors: Chengjie Wu, Pingzhong Tang, Jun Yang, Yujing Hu, Tangjie Lv, Changjie Fan, Chongjie Zhang
Affiliations: Fuxi AI Lab, NetEase; Institute for Interdisciplinary Information Sciences, Tsinghua University; Department of Computer Science & Engineering, Washington University in St. Louis; Department of Automation, Tsinghua University; Turingsense, Fuxi AI Lab, NetEase
Conference: nips 2023 (main track)
Keywords: reinforcement learning;opponent exploitation;multi-agent
Decision: Poster
Title: Fast Projected Newton-like Method for Precision Matrix Estimation under Total Positivity
Authors: Jian-Feng CAI, José Vinícius de Miranda Cardoso, Daniel Palomar, Jiaxi Ying
Affiliations: Hong Kong University of Science and Technology1; Hong Kong University of Science and Technology1, HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute2; Hong Kong University of Science and Technology1, HKUST Shenzhen-Hong Kong Collaborative Innovation Research Institute2∗
Conference: nips 2023 (main track)
Keywords: MTP2;Total Positivity;Generalized graph Laplacian;Precision matrix estimation;Nonnegative partial correlations
Decision: Poster
Title: Bicriteria Multidimensional Mechanism Design with Side Information
Authors: Siddharth Prasad, Maria-Florina Balcan, Tuomas Sandholm
Affiliations: Computer Science Department, Carnegie Mellon University, Optimized Markets, Inc., Strategy Robot, Inc., Strategic Machine, Inc.; School of Computer Science, Carnegie Mellon University; Computer Science Department, Carnegie Mellon University
Conference: nips 2023 (main track)
Keywords: mechanism design;revenue maximization;welfare maximization;side information;weakest competitors;algorithms with predictions;learning-augmented algorithms
Decision: Poster
Title: Information Maximization Perspective of Orthogonal Matching Pursuit with Applications to Explainable AI
Authors: Aditya Chattopadhyay, Ryan Pilgrim, Rene Vidal
Affiliations: University of Pennsylvania, USA; Johns Hopkins University, USA
Conference: nips 2023 (main track)
Keywords: Information Maximization;Sparse Coding;Orthogonal Matching Pursuit;Explainable AI;Information Pursuit
Decision: Spotlight
Title: Neural Data Transformer 2: Multi-context Pretraining for Neural Spiking Activity
Authors: Joel Ye, Jennifer Collinger, Leila Wehbe, Robert Gaunt
Affiliations: Neuroscience Institute, Carnegie Mellon University; Center for the Neural Basis of Cognition, Pittsburgh; Machine Learning Department, Carnegie Mellon University; Rehab Neural Engineering Labs, University of Pittsburgh; Neuroscience Institute, Carnegie Mellon University; Center for the Neural Basis of Cognition, Pittsburgh; Rehab Neural Engineering Labs, University of Pittsburgh; Department of Physical Medicine and Rehabilitation, University of Pittsburgh; Department of Bioengineering, University of Pittsburgh; Center for the Neural Basis of Cognition, Pittsburgh; Department of Biomedical Engineering, Carnegie Mellon University
Conference: nips 2023 (main track)
Keywords: Pretraining;Scaling Laws;Neuroscience;Brain-computer interfaces
Decision: Poster
Title: Equivariant Neural Simulators for Stochastic Spatiotemporal Dynamics
Authors: Koen Minartz, Yoeri Poels, Simon Koop, Vlado Menkovski
Affiliations: Data and Artificial Intelligence Cluster, Eindhoven University of Technology; Data and Artificial Intelligence Cluster, Eindhoven University of Technology; Swiss Plasma Center, École Polytechnique Fédérale de Lausanne
Conference: nips 2023 (main track)
Keywords: stochastic simulation;equivariance;dynamical systems;probabilistic simulation;generative models
Decision: Poster
Title: Video Dynamics Prior: An Internal Learning Approach for Robust Video Enhancements
Authors: Gaurav Shrivastava, Gaurav Shrivastava, Ser Nam Lim, Abhinav Shrivastava
Affiliations: University of Maryland, College Park; University of Central Florida
Conference: nips 2023 (main track)
Keywords: Computational Photography;Deep Internal Learning;low-level vision;video denoising;video super-resolution;video frame interpolation;video inpainting
Decision: Poster
Title: Refined Mechanism Design for Approximately Structured Priors via Active Regression
Authors: Christos Boutsikas, Petros Drineas, Marios Mertzanidis, Alexandros Psomas, Paritosh Verma
Affiliations: Purdue University
Conference: nips 2023 (main track)
Keywords: mechanism design;revenue maximization;randomized linear algebra;active regression
Decision: Poster
Title: Adversarially Robust Learning with Uncertain Perturbation Sets
Authors: Tosca Lechner, Vinayak Pathak, Ruth Urner
Affiliations: Layer 6 AI, Toronto, Ontario, Canada; York University, Toronto, Ontario, Canada; University of Waterloo, Waterloo, Ontario, Canada
Conference: nips 2023 (main track)
Keywords: adversarially robust learning
Decision: Poster
Title: Dual Mean-Teacher: An Unbiased Semi-Supervised Framework for Audio-Visual Source Localization
Authors: Yuxin Guo, Shijie Ma, Hu Su, Zhiqing Wang, Yuhao Zhao, Wei Zou, Siyang Sun, Yun Zheng
Affiliations: School of Artificial Intelligence, University of Chinese Academy of Sciences, Beijing, China; State Key Laboratory of Multimodal Artificial Intelligence Systems (MAIS), Institute of Automation of Chinese Academy of Sciences, Beijing, China; DAMO Academy, Alibaba Group
Conference: nips 2023 (main track)
Keywords: Audio-Visual Learning;Audio-Visual Source Localization;Semi-Supervised Learning;Multimodal Learning
Decision: Poster
Title: Automatic Grouping for Efficient Cooperative Multi-Agent Reinforcement Learning
Authors: Yifan Zang, Jinmin He, Kai Li, Haobo Fu, Qiang Fu, Junliang Xing, Jian Cheng
Affiliations: Tencent AI Lab; Institute of Automation, Chinese Academy of Sciences; School of Artiﬁcial Intelligence, University of Chinese Academy of Sciences; Tsinghua University
Conference: nips 2023 (main track)
Keywords: MARL;Cooperative Multi-Agent Reinforcement Learning;Coordination and Cooperation;Automatic Grouping;Group-Wise Learning
Decision: Poster