hunoutl/paperlists huggingface dataset:
Title: InstanT: Semi-supervised Learning with Instance-dependent Thresholds
Authors: Muyang Li, Runze Wu, Haoyu Liu, Jun Yu, Xun Yang, Bo Han, Tongliang Liu
Affiliations: University of Science and Technology of China; FUXI AI Lab, NetEase; Hong Kong Baptist University; Sydney AI Center, The University of Sydney
Conference: nips 2023 (main track)
Keywords: semi-supervised learning;pseudo-labeling
Decision: Poster
Title: GEX: A flexible method for approximating influence via Geometric Ensemble
Authors: SungYub Kim, Kyungsu Kim, Eunho Yang
Affiliations: Massachusetts General Hospital and Harvard Medical School; Graduate School of AI, KAIST and AITRICS; Graduate School of AI, KAIST
Conference: nips 2023 (main track)
Keywords: Influence Function;Geometric Ensemble;Loss Landscape
Decision: Poster
Title: UUKG: Unified Urban Knowledge Graph Dataset for Urban Spatiotemporal Prediction
Authors: Yansong Ning, Hao Liu, Hao Wang, Zhenyu Zeng, Hui Xiong
Affiliations: AI Thrust, The Hong Kong University of Science and Technology (Guangzhou); CSE, The Hong Kong University of Science and Technology; Alibaba Cloud Intelligence Group
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Urban knowledge graph;Urban computing;Knowledge graph representation
Decision: Poster
Title: Uncovering motifs of concurrent signaling across multiple neuronal populations
Authors: Evren Gokcen, Anna Jasper, Alison Xu, Adam Kohn, Christian Machens, Byron M Yu
Affiliations: Dept. of Electrical and Computer Engineering, Dept. of Biomedical Engineering, Carnegie Mellon University; Champalimaud Neuroscience Programme, Champalimaud Foundation; Dominick Purpura Dept. of Neuroscience, Dept. of Ophthalmology and Visual Sciences, Dept. of Systems and Computational Biology, Albert Einstein College of Medicine; Dominick Purpura Dept. of Neuroscience, Albert Einstein College of Medicine; Dept. of Electrical and Computer Engineering, Carnegie Mellon University
Conference: nips 2023 (main track)
Keywords: neuroscience;multi-population neural recordings;dimensionality reduction;latent variable models;Gaussian processes
Decision: Spotlight
Title: Graph Denoising Diffusion for Inverse Protein Folding
Authors: Kai Yi, Bingxin Zhou, Yiqing Shen, Yiqing Shen, Pietro Lió, Yuguang Wang
Affiliations: University of New South Wales; Shanghai Jiao Tong University, University of New South Wales; Shanghai Jiao Tong University; University of Cambridge; Johns Hopkins University
Conference: nips 2023 (main track)
Keywords: inverse folding;graph neural networks;roto-translation equivariance;diffusion model
Decision: Poster
Title: MADG: Margin-based Adversarial Learning for Domain Generalization
Authors: Aveen Dayal, Vimal K B, Linga Reddy Cenkeramaddi, C Mohan, Abhinav Kumar, Vineeth N Balasubramanian
Affiliations: Indian Institute of Technology Hyderabad; University of Agder
Conference: nips 2023 (main track)
Keywords: Domain Generalization;Margin Loss;Adversarial Learning;Domain Adaptation
Decision: Poster
Title: Real-World Image Variation by Aligning Diffusion Inversion Chain
Authors: Yuechen Zhang, Jinbo Xing, Eric Lo, Jiaya Jia
Affiliations: The Chinese University of Hong Kong and SmartMore; The Chinese University of Hong Kong
Conference: nips 2023 (main track)
Keywords: image variation;diffusion model;image generation;text-driven image editing
Decision: Spotlight
Title: (S)GD over Diagonal Linear Networks: Implicit bias, Large Stepsizes and Edge of Stability
Authors: Mathieu Even, Scott Pesme, Suriya Gunasekar, Nicolas Flammarion
Affiliations: Inria - ENS Paris; EPFL; Microsoft Research
Conference: nips 2023 (main track)
Keywords: SGD;GD;implicit bias;large stepsizes;edge of stability;diagonal linear networks
Decision: Poster
Title: Efficient Robust Bayesian Optimization for Arbitrary Uncertain inputs
Authors: Lin Yang, Junlong Lyu, Wenlong Lyu, Zhitang Chen
Affiliations: Huawei Noah’s Ark Lab, China; Huawei Noah’s Ark Lab, Hong Kong SAR, China
Conference: nips 2023 (main track)
Keywords: bayesian optimization;robust optimization
Decision: Poster
Title: Static and Sequential Malicious Attacks in the Context of Selective Forgetting
Authors: Chenxu Zhao, Wei Qian, Rex Ying, Mengdi Huai
Affiliations: Department of Computer Science, Iowa State University; Department of Computer Science, Yale University
Conference: nips 2023 (main track)
Keywords: Selective forgetting;static setting;sequential setting;security and robustness
Decision: Poster
Title: FairLISA: Fair User Modeling with Limited Sensitive Attributes Information
Authors: zheng zhang, Qi Liu, Hao Jiang, Fei Wang, Yan Zhuang, Le Wu, Weibo Gao, Enhong Chen
Affiliations: Anhui Province Key Laboratory of Big Data Analysis and Application, University of Science and Technology of China; State Key Laboratory of Cognitive Intelligence; Hefei University of Technology
Conference: nips 2023 (main track)
Keywords: fairness;user modeling
Decision: Poster
Title: ScenarioNet: Open-Source Platform for Large-Scale Traffic Scenario Simulation and Modeling
Authors: Quanyi Li, Zhenghao (Mark) Peng, Lan Feng, Zhizheng Liu, Chenda Duan, Wenjie Mo, Bolei Zhou
Affiliations: University of California, Los Angeles; ETH Zurich; University of Edinburgh
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Autonomous Driving;Real-world Scenarios;Reinforcement Learning;Traffic Simulation;AD Stack Testing
Decision: Poster
Title: Building Socio-culturally Inclusive Stereotype Resources with Community Engagement
Authors: Sunipa Dev, Jaya Goyal, Dinesh Tewari, Shachi Dave, Vinodkumar Prabhakaran
Affiliations: Circadian Connect; Google Research
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: stereotype;dataset;evaluation;language models;cross cultural
Decision: Poster
Title: Exploring Geometry of Blind Spots in Vision models
Authors: Sriram Balasubramanian, Gaurang Sriramanan, Vinu Sankar Sadasivan, Soheil Feizi
Affiliations: Department of Computer Science, University of Maryland, College Park
Conference: nips 2023 (main track)
Keywords: Neural networks;Vision models;blind spots;undersensitivity;invariance;level set geometry;input connectivity
Decision: Spotlight
Title: M5HisDoc: A Large-scale Multi-style Chinese Historical Document Analysis Benchmark
Authors: Yongxin Shi, Chongyu Liu, Dezhi Peng, Cheng Jian, Jiarong Huang, Lianwen Jin
Affiliations: South China University of Technology
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Historical document analysis;text detection;text recognition;reading order prediction
Decision: Poster
Title: The Graph Pencil Method: Mapping Subgraph Densities to Stochastic Block Models
Authors: Lee Gunderson, Gecia Bravo-Hermsdorff, Peter Orbanz
Affiliations: Gatsby Unit, University College London; Department of Statistics, University College London
Conference: nips 2023 (main track)
Keywords: Stochastic block model;SBM;graphons;matrix pencil method;method of moments
Decision: Poster
Title: Sample Complexity Bounds for Score-Matching: Causal Discovery and Generative Modeling
Authors: Zhenyu Zhu, Francesco Locatello, Volkan Cevher
Affiliations: Institute of Science and Technology Austria; École Polytechnique Fédérale de Lausanne
Conference: nips 2023 (main track)
Keywords: Causal discovery;Score matching;Score-based generative modeling
Decision: Poster
Title: Breadcrumbs to the Goal: Goal-Conditioned Exploration from Human-in-the-Loop Feedback
Authors: Marcel Torne Villasevil, Max Balsells I Pamies, Zihan Wang, Samedh Desai, Tao Chen, Pulkit Agrawal, Abhishek Gupta
Affiliations: Massachusetts Institute of Technology; University of Washington; Massachusetts Institute of Technology, Harvard University
Conference: nips 2023 (main track)
Keywords: Learning from human preferences;self-supervised learning;exploration in reinforcement learning
Decision: Poster
Title: Self-Supervised Reinforcement Learning that Transfers using Random Features
Authors: Boyuan Chen, Chuning Zhu, Pulkit Agrawal, Kaiqing Zhang, Abhishek Gupta
Affiliations: University of Maryland, College Park, MD 20742; Massachusetts Institute of Technology, Boston, MA 02139; University of Washington, Seattle, WA 98105
Conference: nips 2023 (main track)
Keywords: deep reinforcement learning;self-supervised learning
Decision: Poster
Title: Alternating Gradient Descent and Mixture-of-Experts for Integrated Multimodal Perception
Authors: Hassan Akbari, Dan Kondratyuk, Yin Cui, Rachel Hornung, Huisheng Wang, Hartwig Adam
Affiliations: Google Research
Conference: nips 2023 (main track)
Keywords: Alternating Gradient Descent;Multimodal;Mixture of Experts;AGD;MoE;Deep Learning;Optimization
Decision: Poster
Title: Complementary Benefits of Contrastive Learning and Self-Training Under Distribution Shift
Authors: Saurabh Garg, Amrith Setlur, Zachary Lipton, Sivaraman Balakrishnan, Virginia Smith, Aditi Raghunathan
Affiliations: Carnegie Mellon University
Conference: nips 2023 (main track)
Keywords: contrastive learning; self training; distribution shift; semi supervised learning; unsupervised domain adaptation
Decision: Poster
Title: Amazon-M2: A Multilingual Multi-locale Shopping Session Dataset for Recommendation and Text Generation
Authors: Wei Jin, Haitao Mao, Zheng Li, Haoming Jiang, Chen Luo, Hongzhi Wen, Haoyu Han, Hanqing Lu, Zhengyang Wang, Ruirui Li, Zhen Li, Monica Cheng, Rahul Goutam, Haiyang Zhang, Karthik Subbian, Suhang Wang, Yizhou Sun, Jiliang Tang, Bing Yin, Xianfeng Tang
Affiliations: Amazon.com; University of California, Los Angeles; Amazon.com and Emory University; Michigan State University; The Pennsylvania State University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: session based recommendation;multilingual language models;recommender system;pre-training & fine-tuning;transfer learning;text generation
Decision: Poster
Title: CL-NeRF: Continual Learning of Neural Radiance Fields for Evolving Scene Representation
Authors: Xiuzhe Wu, Peng Dai, Weipeng DENG, Handi Chen, Yang Wu, Yan-Pei Cao, Ying Shan, Xiaojuan Qi
Affiliations: The University of Hong Kong; ARC Lab, Tencent PCG; Tencent AI Lab
Conference: nips 2023 (main track)
Keywords: Neural Radiance Field; Continual Learning; Scene Representation
Decision: Poster
Title: Small Total-Cost Constraints in Contextual Bandits with Knapsacks, with Application to Fairness
Authors: Evgenii Chzhen, Christophe Giraud, Zhen LI, Gilles Stoltz
Affiliations: Université Paris-Saclay, CNRS, Laboratoire de mathématiques d’Orsay, 91405, Orsay, France; Université Paris-Saclay, CNRS, Laboratoire de mathématiques d’Orsay, 91405, Orsay, France; HEC Paris, 78351 Jouy-en-Josas, France; BNP Paribas Corporate and Institutional Banking, 20 boulevard des Italiens, 75009 Paris, France
Conference: nips 2023 (main track)
Keywords: mutli-armed bandits;bandits with knapsacks;primal-dual approaches
Decision: Poster
Title: Domain Agnostic Fourier Neural Operators
Authors: Ning Liu, Siavash Jafarzadeh, Yue Yu
Affiliations: Global Engineering and Materials, Inc., Princeton, NJ 08540; Department of Mathematics, Lehigh University, Bethlehem, PA 18015
Conference: nips 2023 (main track)
Keywords: Operator-Regression Neural Networks;Neural Operators;Data-Driven Physics Modeling;Geometrical and Topological Shape Changes
Decision: Poster
Title: SnapFusion: Text-to-Image Diffusion Model on Mobile Devices within Two Seconds
Authors: Yanyu Li, Huan Wang, Qing Jin, Ju Hu, Pavlo Chemerys, Yun Fu, Yanzhi Wang, Sergey Tulyakov, Jian Ren
Affiliations: Snap Inc.; Northeastern University; Snap Inc. and Northeastern University
Conference: nips 2023 (main track)
Keywords: Text-to-Image;Diffusion model;mobile devices;distillation
Decision: Poster
Title: Uncovering Meanings of Embeddings via Partial Orthogonality
Authors: Yibo Jiang, Bryon Aragam, Victor Veitch
Affiliations: Department of Computer Science, University of Chicago; Booth School of Business, University of Chicago; Department of Statistics, University of Chicago and Data Science Institute, University of Chicago
Conference: nips 2023 (main track)
Keywords: embedding;representation;graphical models;partial orthogonality;Markov boundary
Decision: Poster
Title: HyenaDNA: Long-Range Genomic Sequence Modeling at Single Nucleotide Resolution
Authors: Eric Nguyen, Michael Poli, Marjan Faizi, Armin Thomas, Michael Wornow, Callum Birch-Sykes, Stefano Massaroli, Aman Patel, Clayton Rabideau, Yoshua Bengio, Stefano Ermon, Christopher Ré, Stephen Baccus
Affiliations: Stanford University; Harvard University; SynTensor; Mila and Université de Montréal
Conference: nips 2023 (main track)
Keywords: genomics;hyena;foundation models;large language models;transformers
Decision: Spotlight
Title: Judging LLM-as-a-Judge with MT-Bench and Chatbot Arena
Authors: Lianmin Zheng, Wei-Lin Chiang, Ying Sheng, Siyuan Zhuang, Zhanghao Wu, Yonghao Zhuang, Zi Lin, Zhuohan Li, Dacheng Li, Eric Xing, Hao Zhang, Joseph Gonzalez, Ion Stoica
Affiliations: UC San Diego; Carnegie Mellon University; MBZUAI; Stanford; UC Berkeley
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: large language models;human preference;llm-as-a-judge;benchmark;evaluation
Decision: Poster
Title: Turbulence in Focus: Benchmarking Scaling Behavior of 3D Volumetric Super-Resolution with BLASTNet 2.0 Data
Authors: Wai Tong Chung, Bassem Akoush, Pushan Sharma, Alex Tamkin, Ki Sung Jung, Jacqueline Chen, Jack Guo, Davy Brouzet, Mohsen Talei, Bruno Savard, Alexei Poludnenko, Matthias Ihme
Affiliations: Stanford University, SLAC National Accelerator Laboratory; University of Connecticut; University of Melbourne; Sandia National Laboratory; Polytechnique Montréal; Stanford University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Super-resolution;3D;Neural Scaling Laws;Physics-informed Loss;Computational Fluid Dynamics;Partial Differential Equations;Turbulent Reacting Flows;Direct Numerical Simulation;Fluid Mechanics;Combustion;Computer Vision
Decision: Poster
Title: Annotator: A Generic Active Learning Baseline for LiDAR Semantic Segmentation
Authors: Binhui Xie, Shuang Li, Qingju Guo, Chi Liu, Xinjing Cheng
Affiliations: Beijing Institute of Technology; Tsinghua University & Inceptio Technology
Conference: nips 2023 (main track)
Keywords: Active Learning;LiDAR Semantic Segmentation;Domain Adaptation
Decision: Poster
Title: Enhancing Knowledge Transfer for Task Incremental Learning with Data-free Subnetwork
Authors: Qiang Gao, Xiaojun Shan, Yuchen Zhang, Fan Zhou
Affiliations: University of Electronic Science and Technology of China, Chengdu, China; Southwestern University of Finance and Economics, Chengdu, China
Conference: nips 2023 (main track)
Keywords: data-free subnetwork;task-incremental learning;knowledge transfer;mask
Decision: Poster
Title: Sample-efficient Multi-objective Molecular Optimization with GFlowNets
Authors: Yiheng Zhu, Jialu Wu, Chaowen Hu, Jiahuan Yan, kim hsieh, Tingjun Hou, Jian Wu
Affiliations: College of Computer Science and Technology, Zhejiang University; Polytechnic Institute, Zhejiang University; Second Affiliated Hospital School of Medicine, Zhejiang University; College of Pharmaceutical Sciences, Zhejiang University
Conference: nips 2023 (main track)
Keywords: drug discovery;multi-objective molecular optimization;Bayesian optimization;generative flow networks
Decision: Poster
Title: Minimax Forward and Backward Learning of Evolving Tasks with Performance Guarantees
Authors: Veronica Alvarez, Santiago Mazuelas, Jose A. Lozano
Affiliations: University of the Basque Country UPV/EHU; IKERBASQUE-Basque Foundation for Science; Basque Center of Applied Mathematics (BCAM)
Conference: nips 2023 (main track)
Keywords: Concept drift;Continual learning;Minimax classification;Performance guarantees
Decision: Poster
Title: PriorBand: Practical Hyperparameter Optimization in the Age of Deep Learning
Authors: Neeratyoy Mallik, Edward Bergman, Carl Hvarfner, Danny Stoll, Maciej Janowski, Marius Lindauer, Luigi Nardi, Frank Hutter
Affiliations: Lund University; Lund University, Stanford University, DBtune; University of Freiburg; Leibniz University Hannover
Conference: nips 2023 (main track)
Keywords: Hyperparameter Optimization;Deep Learning
Decision: Poster
Title: Fused Gromov-Wasserstein Graph Mixup for Graph-level Classifications
Authors: Xinyu Ma, Xu Chu, Yasha Wang, Yang Lin, Junfeng Zhao, Liantao Ma, Wenwu Zhu
Affiliations: Department of Computer Science and Technology, Tsinghua University; School of Computer Science, Peking University; National Research and Engineering Center of Software Engineering, Peking University
Conference: nips 2023 (main track)
Keywords: Graph Data Augmentation;Graph Mixup;Fused Gromov Wasserstein
Decision: Poster
Title: All Points Matter: Entropy-Regularized Distribution Alignment for Weakly-supervised 3D Segmentation
Authors: Liyao Tang, Zhe Chen, Shanshan Zhao, Chaoyue Wang, Dacheng Tao
Affiliations: The University of Sydney, Australia; La Trobe University, Australia
Conference: nips 2023 (main track)
Keywords: point cloud segmentation;weak supervision
Decision: Poster
Title: Can semi-supervised learning use all the data effectively? A lower bound perspective
Authors: Alexandru Tifrea, Gizem Yüce, Amartya Sanyal, Fanny Yang
Affiliations: EPFL; Max Planck Institute for Intelligent Systems, Tübingen; ETH Zurich
Conference: nips 2023 (main track)
Keywords: semi-supervised learning;statistical lower bound
Decision: Spotlight
Title: Training Your Image Restoration Network Better with Random Weight Network as Optimization Function
Authors: man zhou, Naishan Zheng, Yuan Xu, Chun-Le Guo, Chongyi Li
Affiliations: University of Science and Technology of China, China; Nankai University, China; S-Lab, Nanyang Technological University
Conference: nips 2023 (main track)
Keywords: Image restoration;low-light image enhancement;image de-noising
Decision: Poster
Title: Dynamic Context Pruning for Efficient and Interpretable Autoregressive Transformers
Authors: Sotiris Anagnostidis, Dario Pavllo, Luca Biggio, Lorenzo Noci, Aurelien Lucchi, Thomas Hofmann
Affiliations: ETH Zürich; University of Basel; ML, CSEM SA
Conference: nips 2023 (main track)
Keywords: Transformers;Context-pruning;Efficient Transformer
Decision: Spotlight
Title: Temporal Continual Learning with Prior Compensation for Human Motion Prediction
Authors: Jianwei Tang, Jiangxin Sun, Xiaotong Lin, lifang zhang, Wei-Shi Zheng, Jian-Fang Hu
Affiliations: Sun Yat-sen University; Dongguan University of Technology
Conference: nips 2023 (main track)
Keywords: Human Motion Prediction; Temporal Continual Learning; Prior Compensation Factor
Decision: Poster
Title: Egocentric Planning for Scalable Embodied Task Achievement
Authors: Xiatoian Liu, Hector Palacios, Christian Muise
Affiliations: Queen’s University, Kingston, ON, Canada; ServiceNow Research, Montreal, QC, Canada
Conference: nips 2023 (main track)
Keywords: Embodied AI;High-Level Actions;Symbolic Reasoning;Replanning;ALFRED Challenge;Flexible Task Achievement;User-Goal Understanding;Object Types and Actions;Perception Grounding
Decision: Poster
Title: H2RBox-v2: Incorporating Symmetry for Boosting Horizontal Box Supervised Oriented Object Detection
Authors: Yi Yu, Xue Yang, Xue Yang, Qingyun Li, Yue Zhou, Feipeng Da, Junchi Yan
Affiliations: COWAROBOT Co. Ltd.; Southeast University; MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University; Shanghai AI Laboratory; Harbin Institute of Technology
Conference: nips 2023 (main track)
Keywords: Oriented object detection;self-supervised learning
Decision: Poster
Title: A Performance-Driven Benchmark for Feature Selection in Tabular Deep Learning
Authors: Valeriia Cherepanova, Roman Levin, Gowthami Somepalli, Jonas Geiping, C. Bayan Bruss, Andrew Wilson, Tom Goldstein, Micah Goldblum
Affiliations: New York University; Capital One; University of Washington; University of Maryland
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: tabular deep learning;tabular data;feature selection;deep lasso;lasso
Decision: Poster
Title: UniControl: A Unified Diffusion Model for Controllable Visual Generation In the Wild
Authors: Can Qin, Shu Zhang, Ning Yu, Yihao Feng, Xinyi Yang, Yingbo Zhou, Huan Wang, Juan Carlos Niebles, Caiming Xiong, Silvio Savarese, Stefano Ermon, Yun Fu, Ran Xu
Affiliations: ⋆Northeastern University; †Salesforce AI Research,⋆Northeastern University; †Salesforce AI Research; ‡Stanford Univeristy
Conference: nips 2023 (main track)
Keywords: Image Generation;Multi-modal;HyperNet
Decision: Poster
Title: Improving Adversarial Robustness via Information Bottleneck Distillation
Authors: Huafeng Kuang, Hong Liu, Yongjian Wu, Shin'ichi Satoh, Rongrong Ji
Affiliations: Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Xiamen University, 361005, P.R. China; Youtu Laboratory, Tencent, Shanghai, 200233, China; National Institute of Informatics, Tokyo, 101-8430, Japan
Conference: nips 2023 (main track)
Keywords: Information Bottleneck;Adversarial training;Adversarial  robustness;Knowledge distillation
Decision: Poster
Title: Winner Takes It All: Training Performant RL Populations for Combinatorial Optimization
Authors: Nathan Grinsztajn, Daniel Furelos-Blanco, Shikha Surana, Clément Bonnet, Tom Barrett
Affiliations: InstaDeep; Imperial College London
Conference: nips 2023 (main track)
Keywords: Combinatorial Optimization;Reinforcement Learning;TSP;CVRP;JSSP
Decision: Poster
Title: Deep Equilibrium Based Neural Operators for Steady-State PDEs
Authors: Tanya Marwah, Ashwini Pokle, J. Zico Kolter, Zachary Lipton, Jianfeng Lu, Andrej Risteski
Affiliations: Duke University; Carnegie Mellon University; Carnegie Mellon University, Bosch Center for AI
Conference: nips 2023 (main track)
Keywords: Deep Equilibrium Models;Partial Differential Equations;Neural Operators
Decision: Poster
Title: Adaptive Algorithms for Relaxed Pareto Set Identification
Authors: Cyrille KONE, Emilie Kaufmann, Laura Richert
Affiliations: Univ. Lille, Inria, CNRS, Centrale Lille, UMR 9198-CRIStAL, F-59000 Lille, France; Univ. Bordeaux, Inserm, Inria, BPH, U1219, Sistm, F-33000 Bordeaux, France
Conference: nips 2023 (main track)
Keywords: bandit;pure-exploration;pareto front;pareto set
Decision: Poster
Title: End-To-End Latent Variational Diffusion Models for Inverse Problems in High Energy Physics
Authors: Alexander Shmakov, Kevin Greif, Michael Fenton, Aishik Ghosh, Pierre Baldi, Daniel Whiteson
Affiliations: Department of Computer Science, University of California Irvine, Irvine, CA 92697; Department of Physics and Astronomy, University of California Irvine, Irvine, CA 92697; Department of Physics and Astronomy, University of California Irvine, Irvine, CA 92697; Physics Division, Lawrence Berkeley National Laboratory, Berkeley, CA 94720
Conference: nips 2023 (main track)
Keywords: Diffusion;Variational;VAE;LDM;Physics;Unfolding
Decision: Poster
Title: Pitfall of Optimism: Distributional Reinforcement Learning by Randomizing Risk Criterion
Authors: Taehyun Cho, Seungyub Han, Heesoo Lee, Kyungjae Lee, Jungwoo Lee
Affiliations: Seoul National University, Hodoo AI Labs; Seoul National University; Chung-Ang University
Conference: nips 2023 (main track)
Keywords: distributional reinforcement learning;risk
Decision: Poster
Title: MVDiffusion: Enabling Holistic Multi-view Image Generation with Correspondence-Aware Diffusion
Authors: Shitao Tang, Fuyang Zhang, Jiacheng Chen, Peng Wang, Yasutaka Furukawa
Affiliations: Simon Fraser University; Bytedance
Conference: nips 2023 (main track)
Keywords: multiview; image generation; generative model; diffusion models
Decision: Spotlight
Title: Self-supervised video pretraining yields robust and more human-aligned visual representations
Authors: Nikhil Parthasarathy, S. M. Ali Eslami, Joao Carreira, Olivier Henaff
Affiliations: Google DeepMind; NYU Center for Neural Science, work done while interning at DeepMind
Conference: nips 2023 (main track)
Keywords: self-supervised learning;contrastive;video pretraining;representation learning;visual representation;human alignment;robustness;shape-bias;saliency
Decision: Poster