hunoutl/paperlists huggingface dataset:
Title: Speculative Decoding with Big Little Decoder
Authors: Sehoon Kim, Karttikeya Mangalam, Suhong Moon, Jitendra Malik, Michael Mahoney, Amir Gholami, Kurt Keutzer
Affiliations: University of California, Berkeley / ICSI; University of California, Berkeley; University of California, Berkeley / ICSI / LBNL
Conference: nips 2023 (main track)
Keywords: Transformer;efficient inference;efficient model;decoding
Decision: Poster
Title: STREAMER: Streaming Representation Learning and Event Segmentation in a Hierarchical Manner
Authors: Ramy Mounir, Sujal Vijayaraghavan, Sudeep Sarkar
Affiliations: Department of Computer Science and Engineering, University of South Florida, Tampa
Conference: nips 2023 (main track)
Keywords: predictive learning;hierarchical event segmentation;self-supervised learning;streaming processing;perceptual inputs;biologically-plausible.
Decision: Poster
Title: Training Private Models That Know What They Don’t Know
Authors: Stephan Rabanser, Anvith Thudi, Abhradeep Guha Thakurta, Krishnamurthy Dvijotham, Nicolas Papernot
Affiliations: Google DeepMind; University of Toronto, Vector Institute
Conference: nips 2023 (main track)
Keywords: differential privacy;selective classification;selective prediction;abstain option;reject option;uncertainty quantification;misclassification detection
Decision: Poster
Title: SwapPrompt: Test-Time Prompt Adaptation for Vision-Language Models
Authors: XIAOSONG MA, Jie ZHANG, Song Guo, Wenchao Xu
Affiliations: Department of Computing, The Hong Kong Polytechnic University, Hong Kong, China; Department of Computer Science and Engineering, Hong Kong University of Science and Technology, Hong Kong, China
Conference: nips 2023 (main track)
Keywords: Test-Time Adaptation;Prompt Learning;Unsupervised Representation Learning
Decision: Poster
Title: f-Policy Gradients: A General Framework for Goal-Conditioned RL using f-Divergences
Authors: Siddhant Agarwal, Ishan Durugkar, Peter Stone, Amy Zhang
Affiliations: The University of Texas at Austin, Sony AI; Sony AI; The University of Texas at Austin
Conference: nips 2023 (main track)
Keywords: Goal Conditioned Reinforcement Learning;Shaping Rewards;Reward Design
Decision: Poster
Title: Generative Modelling of Stochastic Actions with Arbitrary Constraints in Reinforcement Learning
Authors: Changyu CHEN, Ramesha Karunasena, Thanh Nguyen, Arunesh Sinha, Pradeep Varakantham
Affiliations: Rutgers University; Singapore Management University; University of Oregon
Conference: nips 2023 (main track)
Keywords: Action constrained reinforcement learning;Normalizing flow;Generative modelling
Decision: Poster
Title: Information-guided Planning: An Online Approach for Partially Observable Problems
Authors: Matheus Aparecido Do Carmo Alves, Amokh Varma, Yehia Elkhatib, Leandro Soriano Marcolino
Affiliations: Indian Institute of Technology, Delhi, India; University of Glasgow, Glasgow, United Kingdom; Lancaster University, Lancaster, United Kingdom
Conference: nips 2023 (main track)
Keywords: Information-guided planning;Planning under uncertainty;Sequential decision making
Decision: Poster
Title: Timewarp: Transferable Acceleration of Molecular Dynamics by Learning Time-Coarsened Dynamics
Authors: Leon Klein, Andrew Foong, Tor Fjelde, Bruno Mlodozeniec, Marc Brockschmidt, Sebastian Nowozin, Frank Noe, Ryota Tomioka
Affiliations: Microsoft Research AI4Science; University of Cambridge; Microsoft Research AI4Science, Freie Universität Berlin, Rice University; Freie Universität Berlin
Conference: nips 2023 (main track)
Keywords: Molecular Dynamics;Normalizing Flows;MCMC
Decision: Spotlight
Title: Recaptured Raw Screen Image and Video Demoiréing via Channel and Spatial Modulations
Authors: Yijia Cheng, Yijia Cheng, Xin Liu, Jingyu Yang
Affiliations: Tianjin University, Tianjin, China; Tianjin University, Tianjin, China; Lappeenranta-Lahti University of Technology LUT, Lappeenranta, Finland
Conference: nips 2023 (main track)
Keywords: Raw image demoiréing;raw video demoiréing;video demoiréing dataset
Decision: Poster
Title: Does Localization Inform Editing? Surprising Differences in Causality-Based Localization vs. Knowledge Editing in Language Models
Authors: Peter Hase, Mohit Bansal, Been Kim, Asma Ghandeharioun
Affiliations: UNC Chapel Hill; Google Research
Conference: nips 2023 (main track)
Keywords: localization;model editing;mechanistic interpretability;language models
Decision: Spotlight
Title: ImageBrush: Learning Visual In-Context Instructions for Exemplar-Based Image Manipulation
Authors: ya sheng sun, Yifan Yang, Houwen Peng, Yifei Shen, Yuqing Yang, Han Hu, Lili Qiu, Hideki Koike
Affiliations: Tokyo Institute of Technology; Microsoft
Conference: nips 2023 (main track)
Keywords: Image Manipulation;Visual Instruction
Decision: Poster
Title: Conditional Mutual Information for Disentangled Representations in Reinforcement Learning
Authors: Mhairi Dunion, Trevor McInroe, Kevin Luck, Kevin Sebastian Luck, Josiah Hanna, Stefano Albrecht
Affiliations: Vrije Universiteit Amsterdam; University of Wisconsin – Madison; University of Edinburgh
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning;Representation Learning;Disentanglement
Decision: Spotlight
Title: Transfer learning for atomistic simulations using GNNs and kernel mean embeddings
Authors: John Falk, Luigi Bonati, Pietro Novelli, Michele Parrinello, Massimiliano Pontil
Affiliations: Atomistic Simulations, Istituto Italiano di Tecnologia, Genova, Italy; CSML, Istituto Italiano di Tecnologia, Genova, Italy; University College London, U.K.; CSML, Istituto Italiano di Tecnologia, Genova, Italy
Conference: nips 2023 (main track)
Keywords: GNN;Mean Embedding;Kernels;Atomistic Simulations;OCP;Transfer Learning;Molecular Dynamics;Kernel Ridge Regression;Neural Networks
Decision: Poster
Title: Reconciling Competing Sampling Strategies of Network Embedding
Authors: Yuchen Yan, Baoyu Jing, Lihui Liu, Ruijie Wang, Jinning Li, Tarek Abdelzaher, Hanghang Tong
Affiliations: University of Illinois at Urbana Champaign, IL, USA
Conference: nips 2023 (main track)
Keywords: Network embedding
Decision: Poster
Title: Sample Complexity of Goal-Conditioned Hierarchical Reinforcement Learning
Authors: Arnaud Robert, Ciara Pike-Burke, Aldo Faisal
Affiliations: Brain & Behaviour Lab, Depts. of Computing & Bioengineering, Imperial College London, UK; Chair in Digital Health & Data Science, University of Bayreuth, Germany; Brain & Behaviour Lab, Dept. of Computing, Imperial College London, UK; Dept. of Mathematics, Imperial College London, UK
Conference: nips 2023 (main track)
Keywords: Hierarchical Reinforcement Learning;Sample Complexity
Decision: Poster
Title: Does Invariant Graph Learning via Environment Augmentation Learn Invariance?
Authors: Yongqiang Chen, Yatao Bian, Kaiwen Zhou, Binghui Xie, Bo Han, James Cheng
Affiliations: Hong Kong Baptist University; Tencent AI Lab; The Chinese University of Hong Kong
Conference: nips 2023 (main track)
Keywords: Graph Neural Networks;Out-of-Distribution Generalization;Invariant Learning
Decision: Poster
Title: Finite-Time Logarithmic Bayes Regret Upper Bounds
Authors: Alexia Atsidakou, Branislav Kveton, Sumeet Katariya, Constantine Caramanis, Sujay Sanghavi
Affiliations: AWS AI Labs; Amazon; University of Texas, Austin / Amazon; University of Texas, Austin
Conference: nips 2023 (main track)
Keywords: Bayesian bandits;logarithmic regret bounds;multi-armed bandits;linear bandits
Decision: Poster
Title: OpenShape: Scaling Up 3D Shape Representation Towards Open-World Understanding
Authors: Minghua Liu, Ruoxi Shi, Kaiming Kuang, Yinhao Zhu, Xuanlin Li, Shizhong Han, Hong Cai, Fatih Porikli, Hao Su
Affiliations: Qualcomm AI Research; UC San Diego; Shanghai Jiao Tong University
Conference: nips 2023 (main track)
Keywords: 3d;shape understanding;open-world understanding;zero-shot 3D classification;vision-language model
Decision: Poster
Title: Spiking PointNet: Spiking Neural Networks for Point Clouds
Authors: Dayong Ren, Zhe Ma, Yuanpei Chen, Weihang Peng, Xiaode Liu, Yuhan Zhang, Yufei Guo, Yufei Guo
Affiliations: Intelligent Science & Technology Academy of CASIC, China; Scientific Research Laboratory of Aerospace Intelligent Systems and Technology, China
Conference: nips 2023 (main track)
Keywords: Spiking Neural Networks;Point Clouds
Decision: Poster
Title: Kronecker-Factored Approximate Curvature for Modern Neural Network Architectures
Authors: Runa Eschenhagen, Alexander Immer, Richard Turner, Frank Schneider, Philipp Hennig
Affiliations: Department of Computer Science, ETH Zurich; University of Cambridge; University of Tübingen
Conference: nips 2023 (main track)
Keywords: deep learning;second-order;optimization;natural gradient;fisher;gauss-newton;k-fac;weight-sharing
Decision: Spotlight
Title: GlucoSynth: Generating Differentially-Private Synthetic Glucose Traces
Authors: Josephine Lamp, Mark Derdzinski, Christopher Hannemann, Joost van der Linden, Lu Feng, Tianhao Wang, David Evans
Affiliations: Dexcom, USA; University of Virginia, Charlottesville, VA, USA; Dexcom, USA; University of Virginia, Charlottesville, VA, USA
Conference: nips 2023 (main track)
Keywords: Synthetic Data;Time Series;Generative Adversarial Networks;Differential Privacy;Glucose;Diabetes
Decision: Poster
Title: Invariant Anomaly Detection under Distribution Shifts: A Causal Perspective
Authors: João Carvalho, Mengtao Zhang, Robin Geyer, Carlos Cotrini, Joachim M Buhmann
Affiliations: Institute for Machine Learning, Department of Computer Science, ETH Zürich
Conference: nips 2023 (main track)
Keywords: anomaly detection;causal inference;distribution shifts
Decision: Poster
Title: Decision Tree for Locally Private Estimation with Public Data
Authors: Yuheng Ma, Han Zhang, Yuchao Cai, Hanfang Yang
Affiliations: School of Statistics, Renmin University of China; Center for Applied Statistics, Renmin University of China; Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente
Conference: nips 2023 (main track)
Keywords: Local differential privacy;non-parametric regression;decision tree;public data
Decision: Poster
Title: Toward Better PAC-Bayes Bounds for Uniformly Stable Algorithms
Authors: Sijia Zhou, Yunwen Lei, Ata Kaban
Affiliations: Department of Mathematics, The University of Hong Kong, Pokfulam, Hong Kong, China; School of Computer Science, University of Birmingham, Birmingham B15 2TT, United Kingdom
Conference: nips 2023 (main track)
Keywords: PAC-Bayesian Bounds;Uniform Stability;Generalization Analysis
Decision: Poster
Title: Debiased and Denoised Entity Recognition from Distant Supervision
Authors: Haobo Wang, Yiwen Dong, Ruixuan Xiao, Fei Huang, Gang Chen, Junbo Zhao
Affiliations: Zhejiang University, Hangzhou, China; Alibaba Group, Hangzhou, China
Conference: nips 2023 (main track)
Keywords: Distant Supervision; Named Entity-Recognition; Biased Learning
Decision: Poster
Title: A Privacy-Friendly Approach to Data Valuation
Authors: Jiachen (Tianhao) Wang, Yuqing Zhu, Yu-Xiang Wang, Ruoxi Jia, Prateek Mittal
Affiliations: Princeton University; Virginia Tech; UC Santa Barbara
Conference: nips 2023 (main track)
Keywords: Data Valuation;Differential Privacy
Decision: Spotlight
Title: Lung250M-4B: A Combined 3D Dataset for CT- and Point Cloud-Based Intra-Patient Lung Registration
Authors: Fenja Falta, Christoph Großbröhmer, Alessa Hering, Alexander Bigalke, Mattias Heinrich
Affiliations: Departments of Imaging, Radboud University Medical Center, Nijmegen; Institute of Medical Informatics, University of Lübeck
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: image registration;lung CT;point clouds;geometric deep learning
Decision: Poster
Title: Cognitive Steering in Deep Neural Networks via Long-Range Modulatory Feedback Connections
Authors: Talia Konkle, George Alvarez
Affiliations: Department of Psychology, Kempner Institute, Vision Sciences Laboratory, Harvard University, Cambridge, MA 02138; Department of Psychology, Kempner Institute, Center for Brain Sciences, Harvard University, Cambridge, MA 02138
Conference: nips 2023 (main track)
Keywords: convolutional neural networks;steerability;computer vision
Decision: Poster
Title: Directed Cyclic Graph for Causal Discovery from Multivariate Functional Data
Authors: Saptarshi Roy, Raymond K. W. Wong, Yang Ni
Affiliations: Department of Statistics, Texas A&M University, College Station, TX 77843
Conference: nips 2023 (main track)
Keywords: Causal Embedding;Causal Discovery;Multivariate Functional Data;Directed Cyclic Graph;Causal Structure Learning;Bayesian Inference
Decision: Poster
Title: Anytime-Competitive Reinforcement Learning with Policy Prior
Authors: Jianyi Yang, Pengfei Li, Tongxin Li, Adam Wierman, Shaolei Ren
Affiliations: UC Riverside, Riverside, CA, USA; Caltech, Pasadena, CA, USA; CUHK Shenzhen, Shenzhen, Guangdong, China
Conference: nips 2023 (main track)
Keywords: Markov Decision Process;Constrained Reinforcement Learning;Anytime Competitive Constraints
Decision: Poster
Title: Squared Neural Families: A New Class of Tractable Density Models
Authors: Russell Tsuchida, Cheng Soon Ong, Dino Sejdinovic
Affiliations: School of CMS & AIML, The University of Adelaide; Data61-CSIRO & Australian National University; Data61-CSIRO
Conference: nips 2023 (main track)
Keywords: probabilistic modelling; density estimation; exponential family;
Decision: Spotlight
Title: C-Disentanglement: Discovering Causally-Independent Generative Factors under an Inductive Bias of Confounder
Authors: Xiaoyu Liu, Jiaxin Yuan, Bang An, Yuancheng Xu, Yifan Yang, Furong Huang
Affiliations: Department of Mathematics, University of Maryland, College Park; Department of Computer Science, University of Maryland, College Park
Conference: nips 2023 (main track)
Keywords: causal disentanglement;causal generative process;generative factors;confounder;inductive bias;disentanglement;causal inference
Decision: Poster
Title: On the spectral bias of two-layer linear networks
Authors: Aditya  Vardhan Varre, Maria-Luiza Vladarean, Loucas PILLAUD-VIVIEN, Nicolas Flammarion
Affiliations: EPFL; Courant Institute of Mathematics, NYU / Flatiron Institute
Conference: nips 2023 (main track)
Keywords: linear networks;spectral bias;low rank;singular values;mirror flow
Decision: Poster
Title: Pseudo-Likelihood Inference
Authors: Theo Gruner, Boris Belousov, Fabio Muratore, Daniel Palenicek, Jan Peters
Affiliations: Bosch Center for Artificial Intelligence; Intelligent Autonomous Systems Group, Technical University of Darmstadt; hessian.AI; German Research Center for AI (DFKI); Intelligent Autonomous Systems Group, Technical University of Darmstadt; hessian.AI; German Research Center for AI (DFKI); Centre for Cognitive Science
Conference: nips 2023 (main track)
Keywords: simulation-based inference;approximate Bayesian computation
Decision: Poster
Title: Meta-learning families of plasticity rules in recurrent spiking networks using simulation-based inference
Authors: Basile Confavreux, Poornima Ramesh, Pedro Goncalves, Jakob H Macke, Tim Vogels
Affiliations: Institute of Science and Technology Austria; University of Tübingen, Germany; Max Planck Institute for Intelligent Systems, Germany; University of Tübingen, Germany; University of Tübingen, Germany; VIB-Neuroelectronics Research Flanders (NERF), Belgium; imec, Belgium
Conference: nips 2023 (main track)
Keywords: synaptic plasticity;spiking network;meta-learning;computational neuroscience
Decision: Poster
Title: FedL2P: Federated Learning to Personalize
Authors: Royson Lee, Minyoung Kim, Da Li, Xinchi Qiu, Timothy Hospedales, Ferenc Huszar, Nicholas Lane
Affiliations: Samsung AI Center, Cambridge, UK; University of Cambridge, UK; University of Cambridge, UK; Samsung AI Center, Cambridge, UK; Samsung AI Center, Cambridge, UK; University of Edinburgh, UK; University of Cambridge, UK; Flower Labs
Conference: nips 2023 (main track)
Keywords: federated learning; meta-learning; hyperparameter optimization
Decision: Poster
Title: Core-sets for Fair and Diverse Data Summarization
Authors: Sepideh Mahabadi, Stojan Trajanovski
Affiliations: Microsoft Research, Redmond, WA, USA; Microsoft, London, United Kingdom
Conference: nips 2023 (main track)
Keywords: Constrained Diversity Maximization;Fairness;Data Summarization;Core-sets;Approximation Algorithms
Decision: Poster
Title: Hyperbolic VAE via Latent Gaussian Distributions
Authors: Seunghyuk Cho, Juyong Lee, Dongwoo Kim
Affiliations: KAIST AI; POSTECH GSAI; POSTECH GSAI & CSED
Conference: nips 2023 (main track)
Keywords: Hyperbolic space;VAE;Distribution on hyperbolic space;Hierarchical representation learning;Reinforcement Learning
Decision: Poster
Title: BCDiff: Bidirectional Consistent Diffusion for Instantaneous Trajectory Prediction
Authors: Rongqing Li, Changsheng Li, Dongchun Ren, Guangyi Chen, Ye Yuan, Guoren Wang
Affiliations: Beijing Institute of Technology; ALLRIDE.AI; CMU & MBZUAI
Conference: nips 2023 (main track)
Keywords: Trajectory prediction;instantaneous observation
Decision: Poster
Title: Markovian Sliced Wasserstein Distances: Beyond Independent Projections
Authors: Khai Nguyen, Tongzheng Ren, Nhat Ho
Affiliations: Department of Statistics and Data Sciences, The University of Texas at Austin, Austin, TX 78712; Department of Computer Science, The University of Texas at Austin, Austin, TX 78712
Conference: nips 2023 (main track)
Keywords: Sliced Wasserstein;Generative Models;Optimal Transport
Decision: Poster
Title: Token-Scaled Logit Distillation for Ternary Weight Generative Language Models
Authors: Minsoo Kim, Sihwa Lee, Janghwan Lee, Sukjin Hong, Du-Seong Chang, Wonyong Sung, Jungwook Choi
Affiliations: Seoul National University, Seoul, Republic of Korea; Hanyang University, Seoul, Republic of Korea and KT, Seoul, Republic of Korea; KT, Seoul, Republic of Korea; Hanyang University, Seoul, Republic of Korea
Conference: nips 2023 (main track)
Keywords: Generative Language Model;Quantization;QAT;Knowledge Distillation;Causal Attention;Language Modeling
Decision: Poster
Title: Non-stationary Experimental Design under Linear Trends
Authors: David Simchi-Levi, Chonghuan Wang, Zeyu Zheng
Affiliations: Laboratory for Information and Decision Systems, MIT; Department of Industrial Engineering and Operations Research, University of California, Berkeley; Institute for Data, Systems, and Society, Department of Civil and Environmental Engineering, Operations Research Center, MIT
Conference: nips 2023 (main track)
Keywords: Adaptive Experimental Design;Non-stationary;Online Learning;Treatment Effect
Decision: Poster
Title: Episodic Multi-Task Learning with Heterogeneous Neural Processes
Authors: Jiayi Shen, Jiayi Shen, Xiantong Zhen, Qi Wang, Marcel Worring
Affiliations: Kaiyuan Mathematical Sciences Institute, Changsha, China; University of Amsterdam, Netherlands; Inception Institute of Artificial Intelligence, Abu Dhabi, UAE; University of Amsterdam, Netherlands
Conference: nips 2023 (main track)
Keywords: data-insufficiency problem;episodic training;multi-task learning and neural processes
Decision: Spotlight
Title: StyleGAN knows Normal, Depth, Albedo, and More
Authors: Anand Bhattad, Daniel McKee, Derek Hoiem, David Forsyth
Affiliations: University of Illinois Urbana Champaign
Conference: nips 2023 (main track)
Keywords: Generative models;StyleGAN;Depth;Normals;Segmentation;Intrinsic Images;Albedo;Shading
Decision: Poster
Title: Towards In-context Scene Understanding
Authors: Ivana Balazevic, David Steiner, Nikhil Parthasarathy, Relja Arandjelović, Olivier Henaff
Affiliations: NYU CNS, work done while interning at Google DeepMind; Google DeepMind
Conference: nips 2023 (main track)
Keywords: transfer learning;adaptation;self-supervised learning;contrastive learning;scene understanding;representation learning;in-context learning;vision transformers
Decision: Spotlight
Title: Mnemosyne: Learning to Train Transformers with Transformers
Authors: Deepali Jain, Krzysztof M Choromanski, Kumar Avinava Dubey, Sumeet Singh, Vikas Sindhwani, Tingnan Zhang, Jie Tan
Affiliations: Google DeepMind and Columbia University; Google DeepMind; Google Research
Conference: nips 2023 (main track)
Keywords: learnable optimizers;Transformers;efficient attention;spatio-temporal attention
Decision: Poster
Title: PaintSeg: Painting Pixels for Training-free Segmentation
Authors: Xiang Li, Chung-Ching Lin, Yinpeng Chen, Yinpeng Chen, Zicheng Liu, Zicheng Liu, Jinglu Wang, Rita Singh, Bhiksha Raj
Affiliations: CMU; CMU, MBZUAI; Microsoft
Conference: nips 2023 (main track)
Keywords: Prompt-guided Segmentation;Generative models;Training-free
Decision: Poster
Title: Constraint-Conditioned Policy Optimization for Versatile Safe Reinforcement Learning
Authors: Yihang Yao, ZUXIN LIU, Zhepeng Cen, Jiacheng Zhu, Wenhao Yu, Tingnan Zhang, DING ZHAO
Affiliations: Carnegie Mellon University; Carnegie Mellon University, Massachusetts Institute of Technology; Google DeepMind
Conference: nips 2023 (main track)
Keywords: Safe Reinforcement Learning;Conditioned Reinforcement Learning;Multi-task Reinforcement Learning
Decision: Poster
Title: On the Trade-off of Intra-/Inter-class Diversity for Supervised Pre-training
Authors: Jieyu Zhang, Bohan Wang, Zhengyu Hu, Pang Wei Koh, Alexander Ratner
Affiliations: University of Washington, Snorkel AI, Inc.; University of Washington; HKUST(GZ); USTC
Conference: nips 2023 (main track)
Keywords: data-centric study;supervised pretraining;transfer learning
Decision: Poster
Title: Gradient-Based Feature Learning under Structured Data
Authors: Alireza Mousavi-Hosseini, Denny Wu, Taiji Suzuki, Murat Erdogdu
Affiliations: University of Tokyo and RIKEN AIP; University of Toronto and Vector Institute; New York University and Flatiron Institute
Conference: nips 2023 (main track)
Keywords: feature learning;neural networks;single-index model;gradient descent
Decision: Poster
Title: Direct Preference-based Policy Optimization without Reward Modeling
Authors: Gaon An, Junhyeok Lee, Xingdong Zuo, Norio Kosaka, Kyung-Min Kim, Hyun Oh Song
Affiliations: Line Corporation; NAVER; Seoul National University
Conference: nips 2023 (main track)
Keywords: Preference-based reinforcement learning;Contrastive learning;Offline reinforcement learning;RLHF
Decision: Poster
Title: Faith and Fate: Limits of Transformers on Compositionality
Authors: Nouha Dziri, Ximing Lu, Melanie Sclar, Xiang (Lorraine) Li, Liwei Jiang, Bill Yuchen Lin, Sean Welleck, Sean Welleck, Peter West, Chandra Bhagavatula, Ronan Le Bras, Jena Hwang, Soumya Sanyal, Xiang Ren, Allyson Ettinger, Zaid Harchaoui, Yejin Choi
Affiliations: Allen Institute for Artificial Intelligence, University of Chicago; Allen Institute for Artificial Intelligence, University of Southern California; University of Washington; University of Southern California; Allen Institute for Artificial Intelligence; Allen Institute for Artificial Intelligence, University of Washington
Conference: nips 2023 (main track)
Keywords: Natural language processing;large language models;multi-step reasoning
Decision: Spotlight
Title: Entropy-dissipation Informed Neural Network for McKean-Vlasov Type PDEs
Authors: Zebang Shen, Zhenfu Wang
Affiliations: ETH Zürich; Peking University
Conference: nips 2023 (main track)
Keywords: Entropy-dissipation;McKean-Vlasov;Navier-Stokes;PDE;Coulomb;singular interaction
Decision: Poster
Title: Robust Multi-Agent Reinforcement Learning via Adversarial Regularization: Theoretical Foundation and Stable Algorithms
Authors: Alexander Bukharin, Yan Li, Yue Yu, Qingru Zhang, Zhehui Chen, Simiao Zuo, Chao Zhang, Songan Zhang, Tuo Zhao
Affiliations: Georgia Institute of Technology; Google; Ford Motor Company; Microsoft
Conference: nips 2023 (main track)
Keywords: Multi-Agent Reinforcement Learning;Theory of Robust Reinforcement Learning;Adversarial Regularization
Decision: Poster
Title: NU-MCC: Multiview Compressive Coding with Neighborhood Decoder and Repulsive UDF
Authors: Stefan Lionar, Xiangyu Xu, Min Lin, Gim Hee Lee
Affiliations: National University of Singapore; Sea AI Lab, National University of Singapore; Xi’an Jiaotong University; Sea AI Lab
Conference: nips 2023 (main track)
Keywords: single-view 3d reconstruction;neural fields;3d reconstruction
Decision: Poster