hunoutl/paperlists huggingface dataset:
Title: VPP: Efficient Conditional 3D Generation via Voxel-Point Progressive Representation
Authors: Zekun Qi, Muzhou Yu, Runpei Dong, Kaisheng Ma
Affiliations: Xi’an Jiaotong University; Tsinghua University
Conference: nips 2023 (main track)
Keywords: Text to shape generation;3D shape generation;Efficient inference;Representation Learning
Decision: Poster
Title: Geometry-Aware Adaptation for Pretrained Models
Authors: Nicholas Roberts, Xintong Li, Dyah Adila, Sonia Cromp, Tzu-Heng Huang, Jitian Zhao, Frederic Sala
Affiliations: University of Wisconsin-Madison
Conference: nips 2023 (main track)
Keywords: structured prediction;learning on graphs;partially observed label spaces;high cardinality label spaces
Decision: Poster
Title: Model Spider: Learning to Rank Pre-Trained Models Efficiently
Authors: Yi-Kai Zhang, Ting-Ji Huang, Yao-Xiang Ding, De-Chuan Zhan, Han-Jia Ye
Affiliations: State Key Lab of CAD & CG, Zhejiang University; National Key Laboratory for Novel Software Technology, Nanjing University, China
Conference: nips 2023 (main track)
Keywords: Pre-trained Model Ranking;Transfer Learning
Decision: Spotlight
Title: $\texttt{TACO}$: Temporal Latent Action-Driven Contrastive Loss for Visual Reinforcement Learning
Authors: Ruijie Zheng, Xiyao Wang, Yanchao Sun, Shuang Ma, Jieyu Zhao, Huazhe Xu, Hal Daumé III, Furong Huang
Affiliations: University of Maryland, College Park; Tsinghua University; Shanghai Qi Zhi Institute
Conference: nips 2023 (main track)
Keywords: Deep Reinforcement Learning;Visual Reinforcement Learning;Online Visual RL;Offline Visual RL;Action Representation
Decision: Poster
Title: CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders
Authors: Anthony Fuller, Koreen Millard, James Green
Affiliations: Department of Systems and Computer Engineering, Carleton University, Ottawa, Canada; Department of Geography and Environmental Studies, Carleton University, Ottawa, Canada
Conference: nips 2023 (main track)
Keywords: Remote Sensing;Earth Observation;Self-supervised learning;Multimodal
Decision: Poster
Title: HubRouter: Learning Global Routing via Hub Generation and Pin-hub Connection
Authors: Xingbo Du, Chonghua Wang, Ruizhe Zhong, Junchi Yan
Affiliations: Dept. of Computer Science and Engineering & MoE Key Lab of AI, Shanghai Jiao Tong University
Conference: nips 2023 (main track)
Keywords: global routing;generative models
Decision: Poster
Title: Norm-guided latent space exploration for text-to-image generation
Authors: Dvir Samuel, Rami Ben-Ari, Nir Darshan, Haggai Maron, Gal Chechik
Affiliations: Bar-Ilan University, Ramat-Gan, Israel / NVIDIA Research, Tel-Aviv, Israel; Technion, Haifa, Israel / NVIDIA Research, Tel-Aviv, Israel; Bar-Ilan University, Ramat-Gan, Israel / OriginAI, Tel-Aviv, Israel; OriginAI, Tel-Aviv, Israel
Conference: nips 2023 (main track)
Keywords: diffusion models;few-shot learning;long-tail learning
Decision: Poster
Title: SA-Solver: Stochastic Adams Solver for Fast Sampling of Diffusion Models
Authors: Shuchen Xue, Mingyang Yi, Weijian Luo, Shifeng Zhang, Jiacheng Sun, Zhenguo Li, Zhi-Ming Ma
Affiliations: University of Chinese Academy of Sciences; Peking University; Huawei Noah’s Ark Lab; Academy of Mathematics and Systems Science, Chinese Academy of Sciences
Conference: nips 2023 (main track)
Keywords: Diffusion Model Sampler;Multi-step SDE Solver
Decision: Poster
Title: Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery
Authors: Katie Luo, Zhenzhen Liu, Xiangyu Chen, Yurong You, Sagie Benaim, Cheng Perng Phoo, Mark Campbell, Wen Sun, Bharath Hariharan, Kilian Weinberger
Affiliations: The Hebrew University of Jerusalem; Cornell University, Ithaca, NY
Conference: nips 2023 (main track)
Keywords: Self Driving;Self-Supervised Object Discovery;Reward Ranked Finetuning
Decision: Poster
Title: Provable convergence guarantees for black-box variational inference
Authors: Justin Domke, Robert Gower, Guillaume Garrigos
Affiliations: University of Massachusetts Amherst; Center for Computational Mathematics, Flatiron Institute, New York; Université Paris Cité and Sorbonne Université, CNRS, Laboratoire de Probabilités, Statistique et Modélisation, F-75013 Paris, France
Conference: nips 2023 (main track)
Keywords: optimization;variational inference
Decision: Poster
Title: Learning Re-sampling Methods with Parameter Attribution for Image Super-resolution
Authors: Xiaotong Luo, Yuan Xie, Yanyun Qu
Affiliations: School of Computer Science and Technology, East China Normal University, Shanghai, China; School of Informatics, Xiamen University, Fujian, China
Conference: nips 2023 (main track)
Keywords: image super-resolution;long-tail distribution;re-sampling;integrated gradient
Decision: Poster
Title: Diffusion Model is an Effective Planner and Data Synthesizer for Multi-Task Reinforcement Learning
Authors: Haoran He, Chenjia Bai, Kang Xu, Zhuoran Yang, Weinan Zhang, Dong Wang, Bin Zhao, Xuelong Li
Affiliations: Fudan University; Northwestern Polytechnical University; Yale University; Shanghai Jiao Tong University; Shanghai Artificial Intelligence Laboratory
Conference: nips 2023 (main track)
Keywords: multi-task reinforcement learning;diffusion models;planning;data synthesis
Decision: Poster
Title: Switching Autoregressive Low-rank Tensor Models
Authors: Hyun Dong Lee, Andrew Warrington, Joshua Glaser, Scott Linderman
Affiliations: Department of Statistics, Stanford University; Computer Science Department, Stanford University; Department of Neurology, Northwestern University
Conference: nips 2023 (main track)
Keywords: switching;autoregressive;low-rank tensor;time-series;probabilistic;neural;neuroscience;behavioral;arhmm;slds
Decision: Poster
Title: Calibrated Stackelberg Games: Learning Optimal Commitments Against Calibrated Agents
Authors: Nika Haghtalab, Chara Podimata, Kunhe Yang
Affiliations: MIT & Archimedes; University of California, Berkeley
Conference: nips 2023 (main track)
Keywords: calibration;Stackelberg games;learning in repeated games;strategic agents;best response;strategic classification;Stackelberg Security Games
Decision: Spotlight
Title: Entropic Neural Optimal Transport via Diffusion Processes
Authors: Nikita Gushchin, Alexander Kolesov, Alexander Korotin, Dmitry Vetrov, Evgeny Burnaev
Affiliations: Skoltech∗, Moscow, Russia; HSE University‡, AIRI†, Moscow, Russia; Skoltech∗, AIRI†, Moscow, Russia
Conference: nips 2023 (main track)
Keywords: Optimal transport;Schrödinger Bridge;Entropy regularized OT;Neural Networks;Unpaired Learning
Decision: Oral
Title: Learning Energy-Based Prior Model with Diffusion-Amortized MCMC
Authors: Peiyu Yu, Yaxuan Zhu, Sirui Xie, Xiaojian (Shawn) Ma, Ruiqi Gao, Song-Chun Zhu, Ying Nian Wu
Affiliations: UCLA Department of Statistics, Beijing Institute for General Artificial Intelligence (BIGAI); UCLA Department of Computer Science; Google DeepMind; UCLA Department of Computer Science, Beijing Institute for General Artificial Intelligence (BIGAI); UCLA Department of Statistics
Conference: nips 2023 (main track)
Keywords: Energy-Based Model;Denoising Diffusion Probabilistic Model;MCMC
Decision: Poster
Title: Dynamics of Finite Width Kernel and Prediction Fluctuations in Mean Field Neural Networks
Authors: Blake Bordelon, Cengiz Pehlevan
Affiliations: John Paulson School of Engineering and Applied Sciences, Center for Brain Science, Kempner Institute for the Study of Natural & Artificial Intelligence, Harvard University
Conference: nips 2023 (main track)
Keywords: Deep Learning Theory;Feature Learning;Dynamics;Ensembles
Decision: Spotlight
Title: AVeriTeC: A Dataset for Real-world Claim Verification with Evidence from the Web
Authors: Michael Schlichtkrull, Zhijiang Guo, Andreas Vlachos
Affiliations: Department of Computer Science and Technology, University of Cambridge
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: fact-checking;real-world fact-checking;fact extraction and verification;natural language processing;information retrieval;question generation;question generation and answering
Decision: Poster
Title: C-Eval: A Multi-Level Multi-Discipline Chinese Evaluation Suite for Foundation Models
Authors: Yuzhen Huang, Yuzhuo Bai, Zhihao Zhu, Junlei Zhang, Jinghan Zhang, Tangjun Su, Junteng Liu, Chuancheng Lv, Yikai Zhang, jiayi lei, Yao Fu, Maosong Sun, Junxian He
Affiliations: The Hong Kong University of Science and Technology; Shanghai Jiao Tong University; University of Edinburgh; Tsinghua University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Chinese evaluation;foundation models
Decision: Poster
Title: In Defense of Softmax Parametrization for Calibrated and Consistent Learning to Defer
Authors: Yuzhou Cao, Hussein Mozannar, Lei Feng, Hongxin Wei, Bo An
Affiliations: CSAIL and IDSS, Massachusetts Institute of Technology, Cambridge, MA; Department of Statistics and Data Science, Southern University of Science and Technology, China; School of Computer Science and Engineering, Nanyang Technological University, Singapore
Conference: nips 2023 (main track)
Keywords: Classification;Learning to Defer;Probability Estimation
Decision: Poster
Title: Asynchronous Proportional Response Dynamics: Convergence in Markets with Adversarial Scheduling
Authors: Yoav Kolumbus, Menahem Levy, Noam Nisan
Affiliations: Cornell University; The Hebrew University of Jerusalem
Conference: nips 2023 (main track)
Keywords: Asynchronous Dynamics;Fisher Markets;Proportional Response;Best Response;Game Dynamics;Competitive Equilibrium;Convergence
Decision: Poster
Title: Two Sides of One Coin: the Limits of Untuned SGD and the Power of Adaptive Methods
Authors: Junchi YANG, Xiang Li, Ilyas Fatkhullin, Niao He
Affiliations: Department of Computer Science, ETH Zurich, Switzerland
Conference: nips 2023 (main track)
Keywords: Nonconvex optimization;Stochastic Gradient Descent;Adaptive methods
Decision: Poster
Title: Learning Domain-Aware Detection Head with Prompt Tuning
Authors: Haochen Li, Rui Zhang, Hantao Yao, Xinkai Song, Yifan Hao, Yongwei Zhao, Ling Li, Yunji Chen
Affiliations: Intelligent Software Research Center, Institute of Software, CAS, Beijing, China; State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, CAS, Beijing, China; State Key Lab of Processors, Institute of Computing Technology, CAS, Beijing, China
Conference: nips 2023 (main track)
Keywords: domain adaptation;object detection;prompt tuning
Decision: Poster
Title: Rethinking Tokenizer and Decoder in Masked Graph Modeling for Molecules
Authors: ZHIYUAN LIU, Yaorui Shi, An Zhang, Enzhi Zhang, Kenji Kawaguchi, Xiang Wang, Tat-Seng Chua
Affiliations: University of Science and Technology of China, Institute of Artificial Intelligence, Institute of Dataspace, Hefei Comprehensive National Science Center; University of Science and Technology of China; National University of Singapore; Hokkaido University
Conference: nips 2023 (main track)
Keywords: Molecular Representation Learning;Masked Graph Modeling;Graph Tokenizer
Decision: Poster
Title: Multi Time Scale World Models
Authors: Vaisakh Shaj Kumar, SALEH GHOLAM ZADEH, Ozan Demir, Luiz Douat, Gerhard Neumann
Affiliations: Robert Bosch GmbH, Germany; SAP SE, Germany; Karlsruhe Institute Of Technology (KIT), Germany
Conference: nips 2023 (main track)
Keywords: Hierarchical Models; Multi Time Scale Learning; World Models
Decision: Spotlight
Title: American Stories: A Large-Scale Structured Text Dataset of Historical U.S. Newspapers
Authors: Melissa Dell, Jacob Carlson, Tom Bryan, Emily Silcock, Abhishek Arora, Zejiang Shen, Luca D'Amico-Wong, Quan Le, Pablo Querubin, Leander Heldring
Affiliations: Massachusetts Institute of Technology; Cambridge, MA, USA.; New York University; New York, NY, USA.; Kellogg School of Management, Northwestern University, Evanston, IL, USA.; Harvard University; Cambridge, MA, USA.; Princeton University; Princeton, NJ, USA.
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: structured text dataset;layout dataset;historical texts;American newspapers
Decision: Poster
Title: A fast heuristic to optimize time-space tradeoff for large models
Authors: Akifumi Imanishi, Zijian Xu, Masayuki Takagi, Sixue Wang, Emilio Castillo
Affiliations: Preferred Networks
Conference: nips 2023 (main track)
Keywords: Recomputation;Gradient checkpointing;Memory reduction;Computational graph optimization
Decision: Poster
Title: Analysis of Variance of Multiple Causal Networks
Authors: Zhongli Jiang, Dabao Zhang
Affiliations: Department of Statistics, Purdue University, West Lafayette, IN; Department of Epidemiology & Biostatistics, University of California, Irvine, CA
Conference: nips 2023 (main track)
Keywords: causal inference;large graphs;multi-task learning;structural model;directed cyclic graph
Decision: Poster
Title: RS-Del: Edit Distance Robustness Certificates for Sequence Classifiers via Randomized Deletion
Authors: Zhuoqun Huang, Neil G Marchant, Keane Lucas, Lujo Bauer, Olga Ohrimenko, Benjamin Rubinstein
Affiliations: Carnegie Mellon University; University of Melbourne
Conference: nips 2023 (main track)
Keywords: certified robustness;randomized smoothing;malware detection;sequence classification;edit distance
Decision: Poster
Title: Neural Foundations of Mental Simulation: Future Prediction of Latent Representations on Dynamic Scenes
Authors: Aran Nayebi, Rishi Rajalingham, Mehrdad Jazayeri, Guangyu Robert Yang
Affiliations: McGovern Institute for Brain Research, MIT; Cambridge, MA 02139, Reality Labs, Meta; 390 9th Ave, New York, NY 10001; McGovern Institute for Brain Research, MIT; Cambridge, MA 02139; McGovern Institute for Brain Research, MIT; Cambridge, MA 02139, Department of Brain and Cognitive Sciences, MIT; Cambridge, MA 02139; McGovern Institute for Brain Research, MIT; Cambridge, MA 02139, Department of Brain and Cognitive Sciences, MIT; Cambridge, MA 02139, Department of Electrical Engineering and Computer Science, MIT; Cambridge, MA 02139
Conference: nips 2023 (main track)
Keywords: neural coding;mental simulation;foundation models;primate frontal cortex
Decision: Spotlight
Title: Rotating Features for Object Discovery
Authors: Sindy Löwe, Phillip Lippe, Francesco Locatello, Max Welling
Affiliations: AMLab, University of Amsterdam; Institute of Science and Technology Austria (ISTA); QUV A Lab, University of Amsterdam
Conference: nips 2023 (main track)
Keywords: Object Discovery;Object-Centric Representations;Structured Representation Learning
Decision: Oral
Title: Bootstrapped Training of Score-Conditioned Generator for Offline Design of Biological Sequences
Authors: Minsu Kim, Federico Berto, Sungsoo Ahn, Jinkyoo Park
Affiliations: Korea Advanced Institute of Science and Technology (KAIST); Pohang University of Science and Technology (POSTECH)
Conference: nips 2023 (main track)
Keywords: Biological sequence design;offline model based optimization;conditional generation;bootstrapping;ensemble
Decision: Poster
Title: Prototypical Variational Autoencoder for 3D Few-shot Object Detection
Authors: Weiliang Tang, Biqi YANG, Xianzhi Li, Yun-Hui Liu, Pheng-Ann Heng, Chi-Wing Fu
Affiliations: Huazhong University of Science and Technology; The Chinese University of Hong Kong
Conference: nips 2023 (main track)
Keywords: 3D Point Cloud Object Detection;Few Shot Learning;Computer Vision;Geometric Prototype
Decision: Poster
Title: Are Diffusion Models Vision-And-Language Reasoners?
Authors: Benno Krojer, Elinor Poole-Dayan, Vikram Voleti, Chris Pal, Siva Reddy
Affiliations: Mila & McGill University, Facebook CIFAR AI Chair, ServiceNow Research; McGill University; Mila & McGill University; Mila & University of Montréal, Stability AI; Mila & Polytechnique Montréal, Canada CIFAR AI Chair, ServiceNow Research
Conference: nips 2023 (main track)
Keywords: diffusion model;automatic evaluation;vision-and-language;compositionality
Decision: Poster
Title: Permutation Equivariant Neural Functionals
Authors: Allan Zhou, Kaien Yang, Kaylee Burns, Adriano Cardace, Yiding Jiang, Samuel Sokota, J. Zico Kolter, Chelsea Finn
Affiliations: Stanford University; Carnegie Mellon University; University of Bologna
Conference: nips 2023 (main track)
Keywords: equivariance;permutation;implicit neural representation;generalization
Decision: Poster
Title: Tackling Heavy-Tailed Rewards in Reinforcement Learning with Function Approximation: Minimax Optimal and Instance-Dependent Regret Bounds
Authors: Jiayi Huang, Han Zhong, Liwei Wang, Lin Yang
Affiliations: University of California, Los Angeles; Center for Data Science, Peking University; National Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University
Conference: nips 2023 (main track)
Keywords: machine learning;reinforcement learning;linear bandits;heavy-tailed rewards;instance-dependent regret
Decision: Poster
Title: CityRefer: Geography-aware 3D Visual Grounding Dataset on City-scale Point Cloud Data
Authors: Taiki Miyanishi, Fumiya Kitamori, Shuhei Kurita, Jungdae Lee, Motoaki Kawanabe, Nakamasa Inoue
Affiliations: Tokyo Institute of Technology; RIKEN AIP; ATR, RIKEN AIP; ATR
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: 3D Visual Grounding;Geographic Information System
Decision: Poster
Title: Agnostically Learning Single-Index Models using Omnipredictors
Authors: Aravind Gollakota, Parikshit Gopalan, Adam Klivans, Konstantinos Stavropoulos
Affiliations: Apple; UT Austin
Conference: nips 2023 (main track)
Keywords: generalized linear models;single-index models;agnostic learning;pac learning;logistic regression;omnipredictors;multiaccuracy;calibration
Decision: Poster
Title: Meek Separators and Their Applications in Targeted Causal Discovery
Authors: Kirankumar Shiragur, Jiaqi Zhang, Caroline Uhler
Affiliations: Eric and Wendy Schmidt Center, Broad Institute of MIT and Harvard; LIDS, Massachusetts Institute of Technology, Broad Institute of MIT and Harvard
Conference: nips 2023 (main track)
Keywords: Causality;Graphical Models
Decision: Poster
Title: Compositional Abilities Emerge Multiplicatively: Exploring Diffusion Models on a Synthetic Task
Authors: Maya Okawa, Ekdeep S Lubana, Robert Dick, Hidenori Tanaka
Affiliations: Center for Brain Science, Harvard University, Cambridge, MA, USA; EECS Department, University of Michigan, Ann Arbor, MI, USA; EECS Department, University of Michigan, Ann Arbor, MI, USA; Center for Brain Science, Harvard University, Cambridge, MA, USA; Physics & Informatics Laboratories, NTT Research, Inc., Sunnyvale, CA, USA
Conference: nips 2023 (main track)
Keywords: Diffusion model; Emergence; Emergent capabilities; Science of deep learning; Mechanistic interpretability
Decision: Poster
Title: UE4-NeRF:Neural Radiance Field for Real-Time Rendering of Large-Scale Scene
Authors: Jiaming Gu, Minchao Jiang, Hongsheng Li, Xiaoyuan Lu, Guangming Zhu, Syed Afaq Ali Shah, Liang Zhang, Mohammed Bennamoun
Affiliations: School of Computer Science and Technology, Xidian University; The University of Western Australia; Algorithm R&D Center, Qing Yi (Shanghai); Edith Cowan University
Conference: nips 2023 (main track)
Keywords: NeRF;UE4;Large-scale scenes;Real-time rendering;Rasterization
Decision: Poster
Title: InterCode: Standardizing and Benchmarking Interactive Coding with Execution Feedback
Authors: John Yang, Akshara Prabhakar, Karthik Narasimhan, Shunyu Yao
Affiliations: Department of Computer Science, Princeton University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: natural language processing;code generation;interactive machine learning
Decision: Poster
Title: Learning Score-based Grasping Primitive for Human-assisting Dexterous Grasping
Authors: Tianhao Wu, Mingdong Wu, Jiyao Zhang, Yunchong Gan, Hao Dong
Affiliations: National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University; Center on Frontiers of Computing Studies, School of Computer Science, Peking University; National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University; Center on Frontiers of Computing Studies, School of Computer Science, Peking University; Beijing Academy of Artificial Intelligence; National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University
Conference: nips 2023 (main track)
Keywords: Human-asissting Dexterous Grasping;Score-matching;Reinforcement Learning
Decision: Poster
Title: Neural (Tangent Kernel) Collapse
Authors: Mariia Seleznova, Dana Weitzner, Raja Giryes, Gitta Kutyniok, Hung-Hsu Chou
Affiliations: Tel Aviv University; Ludwig-Maximilians-Universität München
Conference: nips 2023 (main track)
Keywords: Neural Collapse;Neural Tangent Kernel;NTK alignment;Local Elasticity;Gradient Flow
Decision: Poster
Title: Template-free Articulated Neural Point Clouds for Reposable View Synthesis
Authors: Lukas Uzolas, Elmar Eisemann, Petr Kellnhofer
Affiliations: Delft University of Technology, The Netherlands
Conference: nips 2023 (main track)
Keywords: Radiance Fields;View Synthesis;Kinematics;Reposing;NeRF
Decision: Poster
Title: BeaverTails: Towards Improved Safety Alignment of LLM via a Human-Preference Dataset
Authors: Jiaming Ji, Mickel Liu, Josef Dai, Xuehai Pan, Chi Zhang, Ce Bian, Boyuan Chen, Ruiyang Sun, Yizhou Wang, Yaodong Yang
Affiliations: CFCS, School of Computer Science, Peking University; BC, Peking University; Institute for Artificial Intelligence, Peking University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Reinforcement Learning with Human Feedback (RLHF);Large Language Model;Safety Alignment;Human-Preference Data;Harmlessness-Helpfulness Tension
Decision: Poster
Title: LART: Neural Correspondence Learning with Latent Regularization Transformer for 3D Motion Transfer
Authors: Haoyu Chen, Hao Tang, Radu Timofte, Luc V Gool, Guoying Zhao
Affiliations: CMVS, University of Oulu; Computer Vision Laboratory, ETH Zurich, ESAT-PSI, KU Leuven, INSAIT, Sofia Un. St. Kliment Ohridski; Computer Vision Laboratory, ETH Zurich, University of Wurzburg; Computer Vision Laboratory, ETH Zurich, Carnegie Mellon University
Conference: nips 2023 (main track)
Keywords: 3D motion transfer;3D Transformer;geometric preservation;3D generation;correspondence learning
Decision: Poster
Title: Incentivizing Honesty among Competitors in Collaborative Learning and Optimization
Authors: Florian E. Dorner, Nikola Konstantinov, Georgi Pashaliev, Martin Vechev
Affiliations: ETH Zurich; INSAIT, Sofia University; Sofia High School of Mathematics; MPI for Intelligent Systems, Tübingen; ETH Zurich
Conference: nips 2023 (main track)
Keywords: Game Theory;Federated Learning;Optimization;Strategic Behavior;Economics;Mechanisms
Decision: Poster
Title: Auslan-Daily: Australian Sign Language Translation for Daily Communication and News
Authors: Xin Shen, Shaozu Yuan, Hongwei Sheng, Heming Du, Xin Yu
Affiliations: JD AI, Beijing, China; The University of Queensland
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Austrlain Sign Language;Auslan Dataset
Decision: Poster
Title: BLIP-Diffusion: Pre-trained Subject Representation for Controllable Text-to-Image Generation and Editing
Authors: DONGXU LI, Junnan Li, Junnan Li, Steven Hoi
Affiliations: Salesforce AI Research
Conference: nips 2023 (main track)
Keywords: Diffusion-based Models;Text-to-Image Generation;Image Editing;Vision-and-Language;Multimodal
Decision: Poster
Title: Prioritizing Samples in Reinforcement Learning with Reducible Loss
Authors: Shivakanth Sujit, Somjit Nath, Pedro Braga, Samira Ebrahimi Kahou
Affiliations: Mila, Quebec AI Institute, ÉTS Montréal; Mila, Quebec AI Institute, ÉTS Montréal, CIFAR AI Chair; Mila, Quebec AI Institute, ÉTS Montréal, Universidade Federal de Pernambuco
Conference: nips 2023 (main track)
Keywords: reinforcement learning;sample efficiency;experience replay
Decision: Poster
Title: LeanDojo: Theorem Proving with Retrieval-Augmented Language Models
Authors: Kaiyu Yang, Aidan Swope, Alex Gu, Rahul Chalamala, Peiyang Song, Shixing Yu, Saad Godil, Ryan J Prenger, Animashree Anandkumar
Affiliations: Caltech; MIT; UC Santa Barbara; Caltech, NVIDIA; NVIDIA; UT Austin
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Automated Reasoning;Theorem Proving;Retrieval-Augmented Language Models
Decision: Oral