hunoutl/paperlists huggingface dataset:
Title: FlatMatch: Bridging Labeled Data and Unlabeled Data with Cross-Sharpness for Semi-Supervised Learning
Authors: Zhuo Huang, Li Shen, Jun Yu, Bo Han, Tongliang Liu
Affiliations: Department of Automation, University of Science and Technology of China; Sydney AI Centre, The University of Sydney; JD Explore Academy; Department of Computer Science, Hong Kong Baptist University
Conference: nips 2023 (main track)
Keywords: Semi-Supervised Learning
Decision: Poster
Title: Causal Effect Identification in Uncertain Causal Networks
Authors: Sina Akbari, Fateme Jamshidi, Ehsan Mokhtarian, Matthew Vowels, Jalal Etesami, Negar Kiyavash
Affiliations: University of Lausanne, Switzerland; TUM, Germany; EPFL, Switzerland
Conference: nips 2023 (main track)
Keywords: Causal effect;identifiability;causal DAGs;probabilistic graphs
Decision: Poster
Title: Optimal Exploration for Model-Based RL in Nonlinear Systems
Authors: Andrew Wagenmaker, Guanya Shi, Kevin Jamieson
Affiliations: Paul G. Allen School of Computer Science & Engineering, University of Washington, Seattle, WA 98195; Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213
Conference: nips 2023 (main track)
Keywords: reinforcement learning;control theory;system identification;experiment design;active learning
Decision: Spotlight
Title: Adversarial Examples Exist in Two-Layer ReLU Networks for Low Dimensional Linear Subspaces
Authors: Odelia Melamed, Gilad Yehudai, Gal Vardi
Affiliations: Weizmann Institute of Science, Israel; TTI-Chicago and the Hebrew University of Jerusalem
Conference: nips 2023 (main track)
Keywords: Adversarial Examples;Robustness;Neural Networks;Classification
Decision: Poster
Title: PID-Inspired Inductive Biases for Deep Reinforcement Learning in Partially Observable Control Tasks
Authors: Ian Char, Jeff Schneider
Affiliations: Machine Learning Department, Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15213; Machine Learning Department, Carnegie Mellon University, Pittsburgh, PA 15213
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning;Control;POMDP
Decision: Poster
Title: Non-Smooth Weakly-Convex Finite-sum Coupled Compositional Optimization
Authors: Quanqi Hu, Dixian Zhu, Tianbao Yang
Affiliations: Department of Genetics, Stanford University, Stanford, CA 94305; Department of Computer Science, Texas A&M University, College Station, TX 77843
Conference: nips 2023 (main track)
Keywords: non-smooth optimization;weakly-convex optimization;compositional optimization;AUC maximization
Decision: Poster
Title: Kernelized Cumulants: Beyond Kernel Mean Embeddings
Authors: Patric Bonnier, Harald Oberhauser, Zoltan Szabo
Affiliations: Mathematical Institute, University of Oxford; Department of Statistics, London School of Economics
Conference: nips 2023 (main track)
Keywords: kernel;cumulant;mean embedding;Hilbert-Schmidt independence criterion;maximum mean discrepancy
Decision: Spotlight
Title: PRODIGY: Enabling In-context Learning Over Graphs
Authors: Qian Huang, Hongyu Ren, Peng Chen, Gregor Kržmanc, Daniel Zeng, Percy Liang, Jure Leskovec
Affiliations: Stanford University; University of Ljubljana
Conference: nips 2023 (main track)
Keywords: Graph Neural Network;in-context learning;pretraining
Decision: Spotlight
Title: Statistical Knowledge Assessment for Large Language Models
Authors: Qingxiu Dong, Jingjing Xu, Lingpeng Kong, Zhifang Sui, Lei Li
Affiliations: The University of Hong Kong; National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University; Carnegie Mellon University; Shanghai AI Lab
Conference: nips 2023 (main track)
Keywords: Large Language Models;Knowledge Assessment;Evaluation
Decision: Poster
Title: ESSEN: Improving Evolution State Estimation for Temporal Networks using Von Neumann Entropy
Authors: Qiyao Huang, Yingyue Zhang, Zhihong Zhang, Edwin Hancock
Affiliations: School of Informatics, Xiamen University, China; Department of Computer Science, University of York, York YO10 5GH, UK
Conference: nips 2023 (main track)
Keywords: Temporal Network;Graph Neural Network;Von Neumann Entropy
Decision: Poster
Title: Leveraging Vision-Centric Multi-Modal Expertise for 3D Object Detection
Authors: Linyan Huang, Zhiqi Li, Chonghao Sima, Wenhai Wang, Jingdong Wang, Yu Qiao, Hongyang Li
Affiliations: CUHK; Baidu; Nanjing University; Shanghai AI Lab
Conference: nips 2023 (main track)
Keywords: camera-only detection;multi-modal distillation;multi-view object detection
Decision: Poster
Title: Detecting Any Human-Object Interaction Relationship: Universal HOI Detector with Spatial Prompt Learning on Foundation Models
Authors: Yichao Cao, Qingfei Tang, Xiu Su, Song Chen, Shan You, Xiaobo Lu, Chang Xu
Affiliations: SenseTime; University of Sydney; Nanjing Enbo Tech; Southeast University
Conference: nips 2023 (main track)
Keywords: Human-object interaction;Commonsense Knowledge;Foundation Models
Decision: Poster
Title: OpenIllumination: A Multi-Illumination Dataset for Inverse Rendering Evaluation on Real Objects
Authors: Isabella Liu, Linghao Chen, Ziyang Fu, Liwen Wu, Haian Jin, Zhong Li, Chin Ming Ryan Wong, Yi Xu, Ravi Ramamoorthi, Zexiang Xu, Hao Su
Affiliations: UC San Diego; Zhejiang University; Adobe Research; OPPO US Research Center
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Inverse Rendering; Neural Rendering
Decision: Poster
Title: Parameter-efficient Tuning of Large-scale Multimodal Foundation Model
Authors: Haixin Wang, Xinlong Yang, Jianlong Chang, Dian Jin, Jinan Sun, Shikun Zhang, Xiao Luo, Qi Tian
Affiliations: University of Wisconsin-Madison; Peking University; Huawei Cloud & AI
Conference: nips 2023 (main track)
Keywords: parameter-efficient transfer learning; multi-modal learning; prompt learning
Decision: Poster
Title: CorresNeRF: Image Correspondence Priors for Neural Radiance Fields
Authors: Yixing Lao, Xiaogang Xu, zhipeng cai, Xihui Liu, Hengshuang Zhao
Affiliations: The University of Hong Kong; Zhejiang Lab, Zhejiang University; Intel Labs
Conference: nips 2023 (main track)
Keywords: Neural Radiance Fields;3D Reconstruction;Few View
Decision: Poster
Title: DynaDojo: An Extensible Benchmarking Platform for Scalable Dynamical System Identification
Authors: Logan M Bhamidipaty, Tommy Bruzzese, Caryn Tran, Rami Ratl Mrad, Maxinder S. Kanwal
Affiliations: Stanford University; Northwestern University; UC Berkeley
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: system identification;benchmarking;scaling
Decision: Poster
Title: ToolQA: A Dataset for LLM Question Answering with External Tools
Authors: Yuchen Zhuang, Yue Yu, Kuan Wang, Haotian Sun, Chao Zhang
Affiliations: College of Computing, Georgia Institute of Technology, Atlanta GA
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Large Language Model;External Knowledge;Tool-Augmetned LLMs
Decision: Poster
Title: Principled Weight Initialisation for Input-Convex Neural Networks
Authors: Pieter-Jan Hoedt, Günter Klambauer
Affiliations: LIT AI Lab & ELLIS Unit Linz, Institute for Machine Learning, Johannes Kepler University, Linz, Austria
Conference: nips 2023 (main track)
Keywords: initialization;signal propagation;input-convex networks
Decision: Poster
Title: SubseasonalClimateUSA: A Dataset for Subseasonal Forecasting and Benchmarking
Authors: Soukayna Mouatadid, Paulo Orenstein, Genevieve Flaspohler, Miruna Oprescu, Judah Cohen, Franklyn Wang, Sean Knight, Maria Geogdzhayeva, Sam Levang, Ernest Fraenkel, Lester Mackey
Affiliations: IMPA; MIT; Harvard; Salient Predictions; University of Toronto; Microsoft Research
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: weather and climate prediction;subseasonal forecasting;deep learning;subseasonal benchmark dataset;bias correction;statistical postprocessing
Decision: Poster
Title: Renku: a platform for sustainable data science
Authors: Rok Roškar, Chandrasekhar Ramakrishnan, Michele Volpi, Fernando Perez-Cruz, Lilian Gasser, Firat Ozdemir, Patrick Paitz, Mohammad Alisafaee, Philipp Fischer, Ralf Grubenmann, Eliza Harris, Tasko Olevski, Carl Remlinger, Luis Salamanca, Elisabet Capon Garcia, Lorenzo Cavazzi, Jakub Chrobasik, Darlin Cordoba Osnas, Alessandro Degano, Jimena Dupre, Wesley Johnson, Eike Kettner, Laura Kinkead, Sean Murphy, Flora Thiebaut, Olivier Verscheure
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: reproducibility;reusability;platforms;sustainability;community;dataset development
Decision: Spotlight
Title: The Best of Both Worlds in Network Population Games: Reaching Consensus and Convergence to Equilibrium
Authors: Shuyue Hu, Harold Soh, Georgios Piliouras
Affiliations: Singapore University of Technology and Design; National University of Singapore; Shanghai Artificial Intelligence Laboratory
Conference: nips 2023 (main track)
Keywords: Multi-Agent Learning;Consensus Formation;Smooth Fictitious Play;Network Game;Population Game
Decision: Poster
Title: Kernel-Based Tests for Likelihood-Free Hypothesis Testing
Authors: Patrik Robert Gerber, Tianze Jiang, Yury Polyanskiy, Rui Sun
Affiliations: Department of EECS, MIT, Cambridge, MA 02139; Department of Mathematics, MIT, Cambridge, MA 02139
Conference: nips 2023 (main track)
Keywords: Kernel methods;Maximum mean discrepancy;Likelihood-free inference;Hypothesis testing;Minimax statistics
Decision: Poster
Title: Free-Bloom: Zero-Shot Text-to-Video Generator with LLM Director and LDM Animator
Authors: Hanzhuo Huang, Yufan Feng, Cheng Shi, Lan Xu, Jingyi Yu, Sibei Yang
Affiliations: School of Information Science and Technology, ShanghaiTech University†; School of Information Science and Technology, ShanghaiTech University
Conference: nips 2023 (main track)
Keywords: Text-to-Video;Zero-Shot Generation;Large Language Model;Latent Diffusion Models
Decision: Poster
Title: Learning Generalizable Agents via Saliency-guided Features Decorrelation
Authors: Sili Huang, Yanchao Sun, Jifeng Hu, Siyuan Guo, Hechang Chen, Yi Chang, Lichao Sun, Bo Yang
Affiliations: Lehigh University, Bethlehem, Pennsylvania, USA; School of Artificial Intelligence, Jilin University, China; Key Laboratory of Symbolic Computation and Knowledge Engineering of Ministry of Education, School of Artificial Intelligence, Jilin University, China; Department of Computer Science, University of Maryland, College Park, USA
Conference: nips 2023 (main track)
Keywords: reinforcement learning;generalization
Decision: Spotlight
Title: Binarized Spectral Compressive Imaging
Authors: Yuanhao Cai, Yuxin Zheng, Jing Lin, Xin Yuan, Yulun Zhang, Haoqian Wang
Affiliations: Westlake University; ETH Zürich; Tsinghua University
Conference: nips 2023 (main track)
Keywords: Applications;Computer Vision;Low-level Vision;Image Restoration;Snapshot Compressive Imaging;Hyperspectral Image Reconstruction
Decision: Poster
Title: Reducing Blackwell and Average Optimality to Discounted MDPs via the Blackwell Discount Factor
Authors: Julien Grand-Clément, Marek Petrik
Affiliations: Department of Computer Science, University of New Hampshire; ISOM Department, HEC Paris
Conference: nips 2023 (main track)
Keywords: Markov Decision Process;Blackwell optimality;average optimality;robust optimization
Decision: Poster
Title: Recurrent Hypernetworks are Surprisingly Strong in Meta-RL
Authors: Jacob Beck, Risto Vuorio, Zheng Xiong, Shimon Whiteson
Affiliations: Department of Computer Science, University of Oxford, United Kingdom
Conference: nips 2023 (main track)
Keywords: meta-RL;RL;reinforcement learning;memory;rnn;recurrent;hypernetwork;few-shot;in-context
Decision: Poster
Title: Learning Probabilistic Symmetrization for Architecture Agnostic Equivariance
Authors: Jinwoo Kim, Dat Nguyen, Ayhan Suleymanzade, Hyeokjun An, Seunghoon Hong
Affiliations: KAIST
Conference: nips 2023 (main track)
Keywords: equivariant machine learning;transformers;graphs;general-purpose architectures
Decision: Spotlight
Title: Kernelized Reinforcement Learning with Order Optimal Regret Bounds
Authors: Sattar Vakili, Julia Olkhovskaya
Affiliations: MediaTek Research, Cambridge, UK; TU Delft, Delft, the Netherlands
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning;Kernel ridge regression;Gaussian processes;LSVI
Decision: Poster
Title: Wasserstein Quantum Monte Carlo: A Novel Approach for Solving the Quantum Many-Body Schrödinger Equation
Authors: Kirill Neklyudov, Jannes Nys, Luca Thiede, Juan Carrasquilla, Qiang Liu, Max Welling, Alireza Makhzani
Affiliations: Vector Institute, Univeristy of Waterloo; Institute of Physics & Center for Quantum Science and Engineering, École Polytechnique Fédérale de Lausanne (EPFL); Microsoft Research, AI4Science; Vector Institute; UT Austin; Vector Institute, Univeristy of Toronto
Conference: nips 2023 (main track)
Keywords: Quantum Monte Carlo;Schrödinger equation;Wasserstein Fisher-Rao gradient flow
Decision: Spotlight
Title: TpuGraphs: A Performance Prediction Dataset on Large Tensor Computational Graphs
Authors: Mangpo Phothilimthana, Sami Abu-El-Haija, Kaidi Cao, Bahare Fatemi, Michael Burrows, Charith Mendis, Bryan Perozzi
Affiliations: Google; Stanford; UIUC
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: graph dataset;graph neural networks;compilers;performance prediction
Decision: Poster
Title: ProlificDreamer: High-Fidelity and Diverse Text-to-3D Generation with Variational Score Distillation
Authors: Zhengyi Wang, Cheng Lu, Yikai Wang, Fan Bao, Chongxuan LI, Hang Su, Jun Zhu
Affiliations: Dept. of Comp. Sci. & Tech., BNRist Center, Tsinghua-Bosch Joint ML Center, Tsinghua University; ShengShu, Beijing, China; Dept. of Comp. Sci. & Tech., BNRist Center, Tsinghua-Bosch Joint ML Center, Tsinghua University; ShengShu, Beijing, China; Pazhou Laboratory (Huangpu), Guangzhou, China; Dept. of Comp. Sci. & Tech., BNRist Center, Tsinghua-Bosch Joint ML Center, Tsinghua University; Pazhou Laboratory (Huangpu), Guangzhou, China; Dept. of Comp. Sci. & Tech., BNRist Center, Tsinghua-Bosch Joint ML Center, Tsinghua University; Gaoling School of Artificial Intelligence, Renmin University of China, Beijing Key Laboratory of Big Data Management and Analysis Methods, Beijing, China
Conference: nips 2023 (main track)
Keywords: diffusion models;text to 3D
Decision: Spotlight
Title: Distributional Pareto-Optimal Multi-Objective Reinforcement Learning
Authors: Xin-Qiang Cai, Pushi Zhang, Li Zhao, Jiang Bian, Masashi Sugiyama, Ashley Llorens
Affiliations: RIKEN AIP, Tokyo, Japan; The University of Tokyo, Tokyo, Japan; Microsoft Research Asia, Beijing, China
Conference: nips 2023 (main track)
Keywords: Multi-Objective Reinforcement Learning
Decision: Poster
Title: Self-Predictive Universal AI
Authors: Elliot Catt, Jordi Grau-Moya, Marcus Hutter, Matthew Aitchison, Tim Genewein, Grégoire Delétang, Kevin Li, Joel Veness
Affiliations: Google DeepMind
Conference: nips 2023 (main track)
Keywords: General Reinforcement Learning;Reinforcement Learning;Self-Modeling;Bayes-optimality;Policy Distillation;Uncertainty;Universal AI
Decision: Poster
Title: Flow-Attention-based Spatio-Temporal Aggregation Network for 3D Mask Detection
Authors: Yuxin Cao, Yian Li, Yumeng Zhu, Derui Wang, Minhui Xue
Affiliations: Ping An Technology (Shenzhen) Co., Ltd., China; Tsinghua University, China; ShanghaiTech University, China; CSIRO’s Data61, Australia
Conference: nips 2023 (main track)
Keywords: 3D mask detection;spatio-temporal aggregation;optical flow;deep learning
Decision: Poster
Title: ChessGPT: Bridging Policy Learning and Language Modeling
Authors: Xidong Feng, Yicheng Luo, Ziyan Wang, Hongrui Tang, Mengyue Yang, Kun Shao, David Mguni, Yali Du, Jun Wang
Affiliations: King’s College London; Huawei Noah’s Ark Lab; University College London
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Chess;Dataset;large language model;policy learning;language modeling
Decision: Poster
Title: Unified Enhancement of Privacy Bounds for Mixture Mechanisms via $f$-Differential Privacy
Authors: Chendi Wang, Buxin Su, Jiayuan Ye, Reza Shokri, Weijie Su
Affiliations: Department of Mathematics, University of Pennsylvania; Department of Computer Science, National University of Singapore; Wharton Statistics and Data Science Department, University of Pennsylvania; University of Pennsylvania & Shenzhen Research Institute of Big data
Conference: nips 2023 (main track)
Keywords: Differential privacy;$f$-DP;mixture mechanisms;shuffling;differentially private gradient descent
Decision: Poster
Title: Evaluating Self-Supervised Learning for Molecular Graph Embeddings
Authors: Hanchen Wang, Jean Kaddour, Shengchao Liu, Jian Tang, Joan Lasenby, Qi Liu
Affiliations: Cambridge; UCL; MILA; HKU; UdeM
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: molecular graphs;pre-training;probe models
Decision: Poster
Title: StateMask: Explaining Deep Reinforcement Learning through State Mask
Authors: Zelei Cheng, Xian Wu, Jiahao Yu, Wenhai Sun, Wenbo Guo, Wenbo Guo, Xinyu Xing
Affiliations: Purdue University, West Lafayette, IN 47907; Northwestern University, Evanston, IL 60208
Conference: nips 2023 (main track)
Keywords: deep reinforcement learning;interpretation;explanation
Decision: Poster
Title: On the Consistency of Maximum Likelihood Estimation of Probabilistic Principal Component Analysis
Authors: Arghya Datta, Sayak Chakrabarty
Affiliations: Université de Montréal, Department of Mathematics and Statistics; Northwestern University, Department of Computer Science
Conference: nips 2023 (main track)
Keywords: maximum likelihood estimate;non-identifiability;Redner approach;quotient topological spaces;consistency
Decision: Poster
Title: SPQR: Controlling Q-ensemble Independence with Spiked Random Model for Reinforcement Learning
Authors: Dohyeok Lee, Seungyub Han, Taehyun Cho, Jungwoo Lee
Affiliations: Seoul National University, Hodoo AI Labs; Seoul National University
Conference: nips 2023 (main track)
Keywords: Deep Reinforcement Learning;Ensemble Q-learning
Decision: Poster
Title: Learning Linear Causal Representations from Interventions under General Nonlinear Mixing
Authors: Simon Buchholz, Goutham Rajendran, Elan Rosenfeld, Bryon Aragam, Bernhard Schölkopf, Pradeep Ravikumar
Affiliations: Max Planck Institute for Intelligent Systems, Tübingen, Germany; Carnegie Mellon University, Pittsburgh, USA; University of Chicago, Chicago, USA
Conference: nips 2023 (main track)
Keywords: Causal Representation Learning;Interventional data;Gaussian Structural Causal models
Decision: Oral
Title: IMP-MARL: a Suite of Environments for Large-scale Infrastructure Management Planning via MARL
Authors: Pascal Leroy, Pablo G. Morato, Jonathan Pisane, Athanasios Kolios, Damien Ernst
Affiliations: Technical University of Denmark; Montefiore Institute, University of Liège, LTCI, Telecom Paris, Institut Polytechnique de Paris; Thales Belgium; Montefiore Institute, University of Liège
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: cooperative multi-agent reinforcement learning;infrastructure management planning;centralised training decentralised execution;benchmark
Decision: Poster
Title: Brain Dissection: fMRI-trained Networks Reveal Spatial Selectivity in the Processing of Natural Images
Authors: Gabriel Sarch, Michael Tarr, Katerina Fragkiadaki, Leila Wehbe
Affiliations: Carnegie Mellon University
Conference: nips 2023 (main track)
Keywords: Computational Neuroscience;Deep Neural Networks;Visual Neuroscience;Visual Streams;Scene Perception;Brain Imaging
Decision: Poster
Title: Efficient Data Subset Selection to Generalize Training Across Models: Transductive and Inductive Networks
Authors: Eeshaan Jain, Tushar Nandy, Gaurav Aggarwal, Ashish Tendulkar, Rishabh Iyer, Abir De
Affiliations: UT Dallas; Google; IIT Bombay
Conference: nips 2023 (main track)
Keywords: Data Subset Selection;Efficient Learning
Decision: Poster
Title: rPPG-Toolbox: Deep Remote PPG Toolbox
Authors: Xin Liu, Girish Narayanswamy, Akshay Paruchuri, Xiaoyu Zhang, Jiankai Tang, Yuzhe Zhang, Roni Sengupta, Shwetak Patel, Yuntao Wang, Daniel McDuff
Affiliations: University of Washington Seattle; University of North Carolina at Chapel Hill; Tsinghua University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: rPPG;Computer Vision;Physiological Sensing;Mobile Health;Machine Learning for Healthcare
Decision: Poster
Title: Diff-Foley: Synchronized Video-to-Audio Synthesis with Latent Diffusion Models
Authors: Simian Luo, Chuanhao Yan, Chenxu Hu, Hang Zhao
Affiliations: IIIS, Tsinghua University; Shanghai Qi Zhi Institute; IIIS, Tsinghua University
Conference: nips 2023 (main track)
Keywords: Video-to-Audio Generation; Contrastive Audio-Visual Pretraining; Latent Diffusion Model;
Decision: Poster
Title: Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series Forecasting
Authors: Marcel Kollovieh, Abdul Fatir Ansari, Michael Bohlke-Schneider, Jasper Zschiegner, Hao Wang, Yuyang (Bernie) Wang
Affiliations: AWS AI Labs; Technical University of Munich
Conference: nips 2023 (main track)
Keywords: diffusion models;time series forecasting;generative modeling;deep learning
Decision: Poster
Title: Triple Eagle: Simple, Fast and Practical Budget-Feasible Mechanisms
Authors: Kai Han, You Wu, He Huang, Shuang Cui
Affiliations: School of Computer Science and Technology, Soochow University, P.R.China; School of Computer Science and Technology, University of Science and Technology of China
Conference: nips 2023 (main track)
Keywords: mechanism design;budget-feasible;truthful
Decision: Poster
Title: Learning from Active Human Involvement through Proxy Value Propagation
Authors: Zhenghao (Mark) Peng, Wenjie Mo, Chenda Duan, Quanyi Li, Bolei Zhou
Affiliations: University of California, Los Angeles; University of Edinburgh
Conference: nips 2023 (main track)
Keywords: Machine Learning;Human-in-the-loop Reinforcement Learning;Safety;Sample Efficiency;Reward-free
Decision: Spotlight
Title: Trust Region-Based Safe Distributional Reinforcement Learning for Multiple Constraints
Authors: Dohyeong Kim, Kyungjae Lee, Songhwai Oh
Affiliations: Artificial Intelligence Graduate School, Chung-Ang University; Dep. of Electrical and Computer Engineering and ASRI, Seoul National University
Conference: nips 2023 (main track)
Keywords: Reinforcement learning;Safety;Multiple Constraints;Distributional Critic
Decision: Poster
Title: Exploring Why Object Recognition Performance Degrades Across Income Levels and Geographies with Factor Annotations
Authors: Laura Gustafson, Megan Richards, Melissa Hall, Caner Hazirbas, Diane Bouchacourt, Mark Ibrahim
Affiliations: Fundamental AI Research (FAIR), Meta
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: computer vision;fairness;robustness;machine learning;image classification;object recognition
Decision: Spotlight
Title: Complex-valued Neurons Can Learn More but Slower than Real-valued Neurons via Gradient Descent
Authors: Jin-Hui Wu, Shao-Qun Zhang, Yuan Jiang, Zhi-Hua Zhou
Affiliations: School of Artiﬁcial Intelligence, Nanjing University, China; National Key Laboratory for Novel Software Technology, Nanjing University, China
Conference: nips 2023 (main track)
Keywords: Complex-valued Neural Networks; Learning Neurons; Real-valued Neural Networks; Convergence Rate
Decision: Poster
Title: VLATTACK: Multimodal Adversarial Attacks on Vision-Language Tasks via Pre-trained Models
Authors: Ziyi Yin, Muchao Ye, Tianrong Zhang, Tianyu Du, Tianyu Du, Jinguo Zhu, Han Liu, Jinghui Chen, Ting Wang, Fenglong Ma
Conference: nips 2023 (main track)
Keywords: vision-language;adversarial attacks;pre-trained model;fine-tuned model
Decision: Poster
Title: Temporal Graph Benchmark for Machine Learning on Temporal Graphs
Authors: Shenyang Huang, Farimah Poursafaei, Jacob Danovitch, Matthias Fey, Weihua Hu, Emanuele Rossi, Jure Leskovec, Michael Bronstein, Guillaume Rabusseau, Reihaneh Rabbany
Affiliations: DIRO, Université de Montréal, CIFAR AI Chair; University of Oxford; Mila - Quebec AI Institute, School of Computer Science, McGill University; Kumo.AI; Mila - Quebec AI Institute, School of Computer Science, McGill University, CIFAR AI Chair; Stanford University; Imperial College London
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Temporal Graph Learning; Graph Datasets; Benchmark Evaluation
Decision: Poster