hunoutl/paperlists huggingface dataset:
Title: Deep Reinforcement Learning with Plasticity Injection
Authors: Evgenii Nikishin, Junhyuk Oh, Georg Ostrovski, Clare Lyle, Razvan Pascanu, Will Dabney, Andre Barreto
Affiliations: DeepMind; DeepMind; Currently at Mila, Université de Montréal
Conference: nips 2023 (main track)
Keywords: deep reinforcement learning;continual learning;loss of plasticity
Decision: Spotlight
Title: Improving Language Plasticity via Pretraining with Active Forgetting
Authors: Yihong Chen, Kelly Marchisio, Roberta Raileanu, David Adelani, Pontus Lars Erik Saito Stenetorp, Sebastian Riedel, Mikel Artetxe
Affiliations: Meta AI; Reka AI; UCL Centre for Artificial Intelligence; Cohere AI
Conference: nips 2023 (main track)
Keywords: plasticity;continual learning;meta-learning;embeddings;cross-lingual transfer;forgetting
Decision: Poster
Title: Auxiliary Losses for Learning Generalizable Concept-based Models
Authors: Ivaxi Sheth, Samira Ebrahimi Kahou
Affiliations: CISPA-Helmholtz Center for Information Security; École de technologie supérieure, Mila, CIFAR AI Chair
Conference: nips 2023 (main track)
Keywords: Interpretability;concept bottleneck models;explainability
Decision: Poster
Title: Ess-InfoGAIL: Semi-supervised Imitation Learning from Imbalanced Demonstrations
Authors: Huiqiao Fu, Kaiqiang Tang, Yuanyang Lu, Yuanyang Lu, Yiming Qi, Guizhou Deng, Flood Sung, Chunlin Chen
Affiliations: Moonshot AI, China; Nanjing University, China
Conference: nips 2023 (main track)
Keywords: Generative adversarial imitation learning;semi-supervised learning;multi-modal behaviors;imbalanced data
Decision: Poster
Title: Generalized test utilities for long-tail performance in extreme multi-label classification
Authors: Erik Schultheis, Marek Wydmuch, Wojciech Kotłowski, Rohit Babbar, Krzysztof Dembczyński
Affiliations: Yahoo! Research / Poznan University of Technology, New York, USA / Poznan, Poland; Aalto University, Helsinki, Finland; Poznan University of Technology, Poznan, Poland; University of Bath / Aalto University, Bath, UK / Helsinki, Finland
Conference: nips 2023 (main track)
Keywords: extreme multi-label classification;long-tail labels performance;complex performance measures
Decision: Poster
Title: Metropolis Sampling for Constrained Diffusion Models
Authors: Nic Fishman, Leo Klarner, Emile Mathieu, Michael Hutchinson, Valentin De Bortoli
Affiliations: ENS Ulm; University of Cambridge; University of Oxford
Conference: nips 2023 (main track)
Keywords: diffusion model;generative modelling;manifold;constraints;proteins;robotics
Decision: Poster
Title: Lookaround Optimizer: $k$ steps around, 1 step average
Authors: Jiangtao Zhang, Shunyu Liu, Jie Song, Tongtian Zhu, Zhengqi Xu, Mingli Song
Affiliations: Zhejiang University, Hangzhou City University; Zhejiang University
Conference: nips 2023 (main track)
Keywords: Deep Learning;Computer Vision;Mode Connectivity;Weight Average
Decision: Poster
Title: L-C2ST: Local Diagnostics for Posterior Approximations in Simulation-Based Inference
Authors: Julia Linhart, Alexandre Gramfort, Pedro Rodrigues
Affiliations: Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LJK, Grenoble 38000, France; Université Paris-Saclay, Inria, CEA, Palaiseau 91120, France
Conference: nips 2023 (main track)
Keywords: machine learning;calibration;simulation-based inference;neuroscience;normalizing flows;classifier two-sample tests
Decision: Poster
Title: BenchCLAMP: A Benchmark for Evaluating Language Models on Syntactic and Semantic Parsing
Authors: Subhro Roy, Samuel Thomson, Tongfei Chen, Richard Shin, Adam Pauls, Jason Eisner, Benjamin Van Durme
Affiliations: Microsoft Semantic Machines; Scaled Cognition
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Syntactic parsing;semantic parsing;benchmark;constrained decoding;GPT-3
Decision: Poster
Title: L2T-DLN: Learning to Teach with Dynamic Loss Network
Authors: Zhaoyang Hai, Liyuan Pan, Xiabi Liu, Zhengzheng Liu, Mirna Yunita
Affiliations: School of Computer Science and Technology, Beijing Institute of Technology, Beijing, China, 100081; School of Computer Science and Technology, BIT Special Zone, Beijing Institute of Technology, Beijing, China, 100081
Conference: nips 2023 (main track)
Keywords: Learning to teach;dynamic loss function;optimization
Decision: Poster
Title: PDF: Point Diffusion Implicit Function for Large-scale Scene Neural Representation
Authors: Yuhan Ding, Fukun Yin, Jiayuan Fan, Hui Li, Xin Chen, Wen Liu, Chongshan Lu, Gang Yu, Tao Chen
Affiliations: School of Information Science and Technology, Fudan University, China; Academy for Engineering and Technology, Fudan University, China; Tencent PCG, Shanghai, China
Conference: nips 2023 (main track)
Keywords: implicit neural representation; diffusion; point cloud; volume rendering
Decision: Poster
Title: Open Compound Domain Adaptation with Object Style Compensation for Semantic Segmentation
Authors: Tingliang Feng, Hao Shi, Xueyang Liu, Wei Feng, Liang Wan, Yanlin Zhou, Di Lin
Affiliations: Dunhuang Academy; College of Intelligence and Computing, Tianjin University; Laboratory of Computation and Analytics of Complex Management Systems (CACMS), Tianjin University; College of Intelligence and Computing, Tianjin University; College of Intelligence and Computing, Tianjin University; Department of Automation, Tsinghua University
Conference: nips 2023 (main track)
Keywords: Object Style Compensation;Open Compound Domain Adaptation;Semantic Segmentation
Decision: Poster
Title: Discovering General Reinforcement Learning Algorithms with Adversarial Environment Design
Authors: Matthew T Jackson, Minqi Jiang, Jack Parker-Holder, Risto Vuorio, Chris Lu, Greg Farquhar, Shimon Whiteson, Jakob Foerster
Affiliations: UCL; Google DeepMind; University of Oxford
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning;Meta-Learning;Meta-RL;Meta-Optimization;Policy Meta-Optimization;Environment Design;Unsupervised Environment Design;Auto-Curricula
Decision: Poster
Title: SAME: Uncovering GNN Black Box with Structure-aware Shapley-based Multipiece Explanations
Authors: Ziyuan Ye, Rihan Huang, Qilin Wu, Quanying Liu
Affiliations: Southern University of Science and Technology, King Abdullah University of Science and Technology; Southern University of Science and Technology, Carnegie Mellon University; Southern University of Science and Technology; Southern University of Science and Technology, The Hong Kong Polytechnic University
Conference: nips 2023 (main track)
Keywords: GNN explainability;Shapley value;Monte Carlo tree search;structure awareness;multi-grained explanation
Decision: Poster
Title: Coherent Soft Imitation Learning
Authors: Joe Watson, Sandy Huang, Nicolas Heess
Affiliations: Google DeepMind, London, United Kingdom; Google DeepMind, London, United Kingdom; TU Darmstadt, Darmstadt, Germany; Systems AI for Robot Learning, German Research Center for AI
Conference: nips 2023 (main track)
Keywords: imitation learning;inverse reinforcement learning;behavioral cloning;learning from demonstration
Decision: Spotlight
Title: Can Pre-Trained Text-to-Image Models Generate Visual Goals for Reinforcement Learning?
Authors: Jialu Gao, Kaizhe Hu, Guowei Xu, Huazhe Xu
Affiliations: Tsinghua University, Shanghai Qi Zhi Institute, Shanghai AI Lab; Tsinghua University
Conference: nips 2023 (main track)
Keywords: Visual Reinforcement Learning;Large Generative Models;Image Editing;Robotics
Decision: Poster
Title: On the Identifiability of Sparse ICA without Assuming Non-Gaussianity
Authors: Ignavier Ng, Yujia Zheng, Xinshuai Dong, Kun Zhang
Affiliations: Carnegie Mellon University; Carnegie Mellon University, Mohamed bin Zayed University of Artificial Intelligence
Conference: nips 2023 (main track)
Keywords: independent component analysis;second-order statistics;sparsity
Decision: Poster
Title: When Do Graph Neural Networks Help with Node Classification? Investigating the Homophily Principle on Node Distinguishability
Authors: Sitao Luan, Chenqing Hua, Minkai Xu, Qincheng Lu, Jiaqi Zhu, Xiao-Wen Chang, Jie Fu, Jure Leskovec, Doina Precup
Affiliations: McGill University; Mila - Quebec Artiﬁcial Intelligence Institute; Google DeepMind; HKUST; Mila - Quebec Artiﬁcial Intelligence Institute; McGill University; Stanford University; McGill University; Mila - Quebec Artiﬁcial Intelligence Institute
Conference: nips 2023 (main track)
Keywords: Graph Neural Networks;Homophily;Heterophily;Low-pass filter;High-pass filter;Node Distinguishability;Metrics
Decision: Poster
Title: On Learning Necessary and Sufficient Causal Graphs
Authors: Hengrui Cai, Yixin Wang, Michael Jordan, Rui Song
Affiliations: North Carolina State University; University of Michigan; University of California, Berkeley; University of California, Irvine
Conference: nips 2023 (main track)
Keywords: Causal structural learning;Necessity and sufficiency;Natural causal effects;Probabilities of causation;Variable selection
Decision: Spotlight
Title: ConDaFormer: Disassembled Transformer with Local Structure Enhancement for 3D Point Cloud Understanding
Authors: Lunhao Duan, Shanshan Zhao, Nan Xue, Mingming Gong, Gui-Song Xia, Dacheng Tao
Affiliations: University of Sydney; School of Computer Science, Wuhan University; JD Explore Academy; University of Melbourne
Conference: nips 2023 (main track)
Keywords: Point Cloud;Transformer;3D Segmentation;3D object detection
Decision: Poster
Title: On the choice of Perception Loss Function for Learned Video Compression
Authors: Sadaf Salehkalaibar, Truong Buu Phan, Jun Chen, Wei Yu, Ashish Khisti
Affiliations: ECE Department, University of Toronto; ECE Department, McMaster University
Conference: nips 2023 (main track)
Keywords: Video Compression;Information Theory;Neural Compression
Decision: Poster
Title: The RefinedWeb Dataset for Falcon LLM: Outperforming Curated Corpora with Web Data Only
Authors: Guilherme Penedo, Quentin Malartic, Daniel Hesslow, Ruxandra Cojocaru, Hamza Alobeidli, Alessandro Cappelli, Baptiste Pannier, Ebtesam Almazrouei, Julien Launay
Affiliations: Technology Innovation Institute, Abu Dhabi
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: web data;crawl;curated;deduplication;NLP;LLM
Decision: Poster
Title: Abide by the law and follow the flow: conservation laws for gradient flows
Authors: Sibylle Marcotte, Remi Gribonval, Gabriel Peyré
Affiliations: ENS - PSL Univ.; CNRS, ENS - PSL Univ.; Univ Lyon, EnsL, UCBL, CNRS, Inria, LIP
Conference: nips 2023 (main track)
Keywords: Implicit bias;conservation laws;gradient flow;linear neural network;matrix factorization
Decision: Oral
Title: Online Ad Allocation with Predictions
Authors: Fabian Spaeh , Department of Computer Science, Boston University, fspaeh@bu.edu , "3026 Alina Ene , Department of Computer Science, Boston University, aene@bu.edu 
Affiliations: Department of Computer Science, Boston University
Conference: nips 2023 (main track)
Keywords: Learning Augmented Algorithms;Display Ads;Generalized Assignment Problem
Decision: Poster
Title: Subclass-Dominant Label Noise: A Counterexample for the Success of Early Stopping
Authors: Yingbin Bai, Zhongyi Han, Erkun Yang, Jun Yu, Bo Han, Dadong Wang, Tongliang Liu
Affiliations: CSIRO; Sydney AI Centre, University of Sydney; Hong Kong Baptist University; Xidian University; University of Science and Technology of China; Mohamed bin Zayed University of Artificial Intelligence
Conference: nips 2023 (main track)
Keywords: learning with noisy labels;weakly supervised learning
Decision: Poster
Title: NuTrea: Neural Tree Search for Context-guided Multi-hop KGQA
Authors: Hyeong Kyu Choi, Seunghun Lee, Jaewon Chu, Hyunwoo Kim
Affiliations: Computer Sciences, University of Wisconsin-Madison; Computer Science & Engineering, Korea University
Conference: nips 2023 (main track)
Keywords: Knowledge Graph Question Answering;Knowledge Graph;Graph Neural Networks
Decision: Poster
Title: A Fractional Graph Laplacian Approach to Oversmoothing
Authors: Sohir Maskey, Raffaele Paolino, Aras Bacho, Gitta Kutyniok
Affiliations: Department of Mathematics, LMU Munich; Department of Mathematics & MCML, LMU Munich
Conference: nips 2023 (main track)
Keywords: Graph Neural Networks;Graph Neural ODE;Fractional Laplacian;Oversmoothing
Decision: Poster
Title: Bayesian Active Causal Discovery with Multi-Fidelity Experiments
Authors: Zeyu Zhang, Chaozhuo Li, Chaozhuo Li, Xu Chen, Xing Xie
Affiliations: Microsoft Research Asia; Gaoling School of Artificial Intelligence, Renmin University of China
Conference: nips 2023 (main track)
Keywords: Causal Discovery;Active Learning;Multi-fidelity
Decision: Poster
Title: DaTaSeg: Taming a Universal Multi-Dataset Multi-Task Segmentation Model
Authors: Xiuye Gu, Yin Cui, Jonathan Huang, Abdullah Rashwan, Xuan Yang, Xingyi Zhou, Golnaz Ghiasi, Weicheng Kuo, Huizhong Chen, Liang-Chieh Chen, David Ross
Affiliations: Google Research, Work done while at Google. Now at ByteDance.; Google Research, Work done while at Google. Now at NVIDIA.; Google Research
Conference: nips 2023 (main track)
Keywords: universal segmentation;multi-task segmentation;multi-dataset segmentation;panoptic segmentation;semantic segmentation;instance segmentation;weakly-supervised segmentation
Decision: Poster
Title: DESSERT: An Efficient Algorithm for Vector Set Search with Vector Set Queries
Authors: Joshua Engels, Benjamin Coleman, Vihan Lakshman, Anshumali Shrivastava
Affiliations: ThirdAI; ThirdAI, Rice University
Conference: nips 2023 (main track)
Keywords: Embedding Based Retrieval;Passage Ranking;Locality Sensitive Hashing;Randomized Algorithms
Decision: Poster
Title: DecodingTrust: A Comprehensive Assessment of Trustworthiness in GPT Models
Authors: Boxin Wang, Weixin Chen, Hengzhi Pei, Chulin Xie, Mintong Kang, Chenhui Zhang, Chejian Xu, Zidi Xiong, Ritik Dutta, Rylan Schaeffer, Sang Truong, Simran Arora, Mantas Mazeika, Dan Hendrycks, Zinan Lin, Yu Cheng, Sanmi Koyejo, Dawn Song, Bo Li
Affiliations: University of California, Berkeley; Microsoft Corporation; Stanford University; University of Illinois at Urbana-Champaign; The Chinese University of Hong Kong
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: trustworthiness evaluation;GPT models;GPT-3.5;GPT-4;toxicity;stereotypes;bias;adversarial robustness;out-of-distribution robustness;privacy;ethics;fairness
Decision: Oral
Title: Prompt Pre-Training with Twenty-Thousand Classes for Open-Vocabulary Visual Recognition
Authors: Shuhuai Ren, Aston Zhang, Yi Zhu, Shuai Zhang, Shuai Zheng, Mu Li, Alexander Smola, Xu Sun
Affiliations: Amazon Web Services; National Key Laboratory of Multimedia Information Processing, School of Computer Science, Peking University
Conference: nips 2023 (main track)
Keywords: Prompt Pre-Training;CLIP;Open-Vocabulary Visual Recognition
Decision: Poster
Title: TextDiffuser: Diffusion Models as Text Painters
Authors: Jingye Chen, Yupan Huang, Yupan Huang, Tengchao Lv, Lei Cui, Qifeng Chen, Furu Wei
Affiliations: Sun Yat-sen University∗, Microsoft Research; HKUST∗, Microsoft Research; Microsoft Research; HKUST
Conference: nips 2023 (main track)
Keywords: Diffusion Model; Text Rendering
Decision: Poster
Title: End-to-End Meta-Bayesian Optimisation with Transformer Neural Processes
Authors: Alexandre Maraval, Matthieu Zimmer, Antoine Grosnit, Haitham Bou Ammar
Affiliations: Huawei Noah’s Ark Lab, University College London; Huawei Noah’s Ark Lab; Huawei Noah’s Ark Lab, Technische Universität Darmstadt
Conference: nips 2023 (main track)
Keywords: meta-learning;bayesian optimisation;neural process;transformer;end-to-end;reinforcement learning
Decision: Poster
Title: Mind2Web: Towards a Generalist Agent for the Web
Authors: Xiang Deng, Yu Gu, Boyuan Zheng, Shijie Chen, Sam Stevens, Boshi Wang, Huan Sun, Yu Su
Affiliations: The Ohio State University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Web Agent;Web Automation;Benchmark;Language Grounding;Large Language Model
Decision: Spotlight
Title: Accountability in Offline Reinforcement Learning: Explaining Decisions with a Corpus of Examples
Authors: Hao Sun, Alihan Hüyük, Daniel Jarrett, Mihaela van der Schaar
Affiliations: Department of Applied Mathematics and Theoretical Physics, University of Cambridge
Conference: nips 2023 (main track)
Keywords: Accountability;Reinforcement Learning;Batched Control;Accountable Decision-Making;Offline RL;Interpretability in RL
Decision: Poster
Title: Understanding Multi-phase Optimization Dynamics and Rich Nonlinear Behaviors of ReLU Networks
Authors: Mingze Wang, Chao Ma
Affiliations: School of Mathematical Sciences, Peking University, Beijing, 100081, P.R. China; Department of Mathematics, Stanford University, Stanford, CA 94305
Conference: nips 2023 (main track)
Keywords: non-convex optimization;training dynamics;neural network
Decision: Spotlight
Title: SpatialRank: Urban Event Ranking with NDCG Optimization on Spatiotemporal Data
Authors: BANG AN, Xun Zhou, Xun Zhou, YONGJIAN ZHONG, Tianbao Yang
Affiliations: Department of Computer Science and Engineering, Texas A&M University, College Station, TX 77843; Department of Computer Science, University of Iowa, Iowa City, IA 52242; Department of Business Analytics, University of Iowa, Iowa City, IA 52242
Conference: nips 2023 (main track)
Keywords: urban event;NDCG optimization;ranking;traffic accident;crime;spatiotemporal data
Decision: Poster
Title: Towards Last-layer Retraining for Group Robustness with Fewer Annotations
Authors: Tyler LaBonte, Vidya Muthukumar, Abhishek Kumar
Affiliations: H. Milton Stewart School of Industrial and Systems Engineering, Georgia Institute of Technology; Google DeepMind; School of Electrical and Computer Engineering, Georgia Institute of Technology
Conference: nips 2023 (main track)
Keywords: spurious correlations;group robustness;last-layer retraining;distribution shift
Decision: Poster
Title: DDCoT: Duty-Distinct Chain-of-Thought Prompting for Multimodal Reasoning in Language Models
Authors: Ge Zheng, Bin Yang, Jiajin Tang, Hong-Yu Zhou, Sibei Yang
Affiliations: The University of Hong Kong; ShanghaiTech University
Conference: nips 2023 (main track)
Keywords: Chain-of-Thought Reasoning;Multimodal Science Question Answering;Vision and Langauge
Decision: Poster
Title: Computing Optimal Nash Equilibria in Multiplayer Games
Authors: Youzhi Zhang, Bo An, Venkatramanan Subrahmanian, Venkatramanan Subrahmanian
Affiliations: Centre for Artificial Intelligence and Robotics, Hong Kong Institute of Science & Innovation, Chinese Academy of Sciences; Department of Computer Science, Northwestern University, Evanston, USA; School of Computer Science and Engineering, Nanyang Technological University, Singapore
Conference: nips 2023 (main track)
Keywords: Algorithmic game theory;Optimal Nash equilibrium
Decision: Poster
Title: PRIOR: Personalized Prior for Reactivating the Information Overlooked in Federated Learning.
Authors: Mingjia Shi, Yuhao Zhou, Kai Wang, Huaizheng Zhang, Shudong Huang, Qing Ye, Jiancheng Lv
Affiliations: Sichuan University; National University of Singapore
Conference: nips 2023 (main track)
Keywords: Federated Learning;Personalized Federated Learning;Expectation Maximization;Relaxed Mirror Descent
Decision: Poster
Title: PAD: A Dataset and Benchmark for Pose-agnostic Anomaly Detection
Authors: Qiang Zhou, Weize Li, Lihan Jiang, Guoliang Wang, Guyue Zhou, Shanghang Zhang, Hao Zhao
Affiliations: National Key Laboratory for Multimedia Information Processing, School of Computer Science, Peking University; AIR, Tsinghua University; Wuhan University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Anomaly Detection;Neural Radiance Field
Decision: Poster
Title: Look Beneath the Surface: Exploiting Fundamental Symmetry for Sample-Efficient Offline RL
Authors: Peng Cheng, Xianyuan Zhan, zhihao wu, Wenjia Zhang, Youfang Lin, Shou cheng Song, Han Wang, Li Jiang
Affiliations: Beijing Jiaotong University, Beijing, China; Tsinghua University, Beijing, China
Conference: nips 2023 (main track)
Keywords: sample efficiency; offline reinforcement learning; fundamental symmetry
Decision: Poster
Title: Feature Likelihood Divergence: Evaluating the Generalization of Generative Models Using Samples
Authors: Marco Jiralerspong, Joey Bose, Ian Gemp, Chongli Qin, Yoram Bachrach, Gauthier Gidel
Affiliations: Université de Montréal and Mila; McGill University and Mila; Google Deepmind
Conference: nips 2023 (main track)
Keywords: Generative model;FID;Evaluation;Precision;Recall;Likelihood;Overfitting;Memorization;Generalization;Diffusion;GANs
Decision: Poster
Title: Scan and Snap: Understanding Training Dynamics and Token Composition in 1-layer Transformer
Authors: Yuandong Tian, Yiping Wang, Beidi Chen, Simon Du
Affiliations: University of Washington; Meta AI (FAIR), Carnegie Mellon University; University of Washington, Zhejiang University; Meta AI (FAIR)
Conference: nips 2023 (main track)
Keywords: transformer;training dynamics;theoretical analysis;self-attention;interpretability;neural network understanding
Decision: Poster
Title: BIRD: Generalizable Backdoor Detection and Removal for Deep Reinforcement Learning
Authors: Xuan Chen, Wenbo Guo, Wenbo Guo, Guanhong Tao, Xiangyu Zhang, Dawn Song
Affiliations: Purdue University; UC Berkeley; Purdue University, UC Berkeley
Conference: nips 2023 (main track)
Keywords: Backdoor Defense;Deep Reinforcement Learning
Decision: Poster
Title: FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space
Authors: Shengzhong Liu, Tomoyoshi Kimura, Dongxin Liu, Ruijie Wang, Jinyang Li, Suhas Diggavi, Mani Srivastava, Tarek Abdelzaher
Affiliations: University of California, Los Angeles; University of Illinois at Urbana-Champaign; Meta; Shanghai Jiao Tong University
Conference: nips 2023 (main track)
Keywords: Multimodal Time Series; Contrastive Learning; Factorized Latent Space
Decision: Poster
Title: Relative Entropic Optimal Transport: a (Prior-aware) Matching Perspective to (Unbalanced) Classification
Authors: Liangliang Shi, Haoyu Zhen, Gu Zhang, Junchi Yan
Affiliations: Dept. of Computer Science and Engineering & MoE Key Lab of AI, Shanghai Jiao Tong University
Conference: nips 2023 (main track)
Keywords: Optimal Transport; Unbalanced Classification
Decision: Poster
Title: Fine-Grained Visual Prompting
Authors: Lingfeng Yang, Yueze Wang, Yueze Wang, Xiang Li, Xinlong Wang, Jian Yang
Affiliations: Nanjing University of Science and Technology; Beijing Academy of Artificial Intelligence; Nankai University
Conference: nips 2023 (main track)
Keywords: visual prompting;zero-shot;visual language model;referring expression comprehension
Decision: Poster
Title: Practical Contextual Bandits with Feedback Graphs
Authors: Mengxiao Zhang, Yuheng Zhang, Olga Vrousgou, Haipeng Luo, Paul Mineiro
Affiliations: University of Illinois Urbana-Champaign; Microsoft Research; University of Southern California
Conference: nips 2023 (main track)
Keywords: Online learning with feedback graphs;Contextual Bandits;Practical algorithms
Decision: Poster
Title: Generative Category-level Object Pose Estimation via Diffusion Models
Authors: Jiyao Zhang, Mingdong Wu, Hao Dong
Affiliations: 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: Category-Level Object Pose Estimation;Diffusion Model
Decision: Poster
Title: TradeMaster: A Holistic Quantitative Trading Platform Empowered by Reinforcement Learning
Authors: Shuo Sun, Molei Qin, Wentao Zhang, Haochong Xia, Chuqiao Zong, Jie Ying, Yonggang Xie, Lingxuan Zhao, Xinrun Wang, Bo An
Affiliations: Nanyang Technological University, Singapore
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: quantitative trading;reinforcement learning
Decision: Poster