hunoutl/paperlists huggingface dataset:
Title: Nonparametric Teaching for Multiple Learners
Authors: Chen Zhang, Xiaofeng Cao, Weiyang Liu, Ivor Tsang, James Kwok
Affiliations: CFAR and IHPC, Agency for Science, Technology and Research (A*STAR), Singapore; School of Artificial Intelligence, Jilin University, China; Hong Kong University of Science and Technology, Hong Kong, China; Max Planck Institute for Intelligent Systems, Germany
Conference: nips 2023 (main track)
Keywords: Nonparametric machine teaching;Multiple learners
Decision: Poster
Title: Diffusion Hyperfeatures: Searching Through Time and Space for Semantic Correspondence
Authors: Grace Luo, Lisa Dunlap, Dong Huk Park, Aleksander Holynski, Trevor Darrell
Affiliations: UC Berkeley, Google Research; UC Berkeley
Conference: nips 2023 (main track)
Keywords: semantic correspondence;hypercolumns;diffusion models;generative model representations
Decision: Poster
Title: SatBird: a Dataset for Bird Species Distribution Modeling using Remote Sensing and Citizen Science Data
Authors: Mélisande Teng, Amna Elmustafa, Benjamin Akera, Yoshua Bengio, Hager Radi, Hugo Larochelle, David Rolnick
Affiliations: Mila, Google Research, Google Deepmind; Mila, Stanford University; Mila, McGill University; Mila, Université de Montréal; Mila
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: remote sensing;biodiversity monitoring;species distribution modelling;citizen science data
Decision: Poster
Title: Bounded rationality in structured density estimation
Authors: Tianyuan Teng, Kevin Li, Hang Zhang
Affiliations: Gatsby Computational Neuroscience Unit, University College London; Google DeepMind; School of Psychological and Cognitive Sciences, Peking University; Beijing Key Laboratory of Behavior and Mental Health, PKU-IDG/McGovern Institute for Brain Research, Peking University; PKU-Tsinghua Center for Life Sciences, Peking University; Chinese Institute for Brain Research, Beijing; Center for Life Sciences, Peking University; Max Planck Institute for Biological Cybernetics, Germany
Conference: nips 2023 (main track)
Keywords: human representation of uncertainty; Bayesian inference; bounded rationality; inductive bias; Chinese Restaurant Process
Decision: Poster
Title: Fine-Tuning Language Models with Just Forward Passes
Authors: Sadhika Malladi, Tianyu Gao, Eshaan Nichani, Alex Damian, Jason Lee, Danqi Chen, Sanjeev Arora
Affiliations: Princeton University
Conference: nips 2023 (main track)
Keywords: language models;fine-tuning;zeroth order optimization;memory efficiency
Decision: Oral
Title: Chanakya: Learning Runtime Decisions for Adaptive Real-Time Perception
Authors: Anurag Ghosh, Vaibhav Balloli, Akshay Nambi, Aditya Singh, Tanuja Ganu
Affiliations: Microsoft Research India; Carnegie Mellon University; University of Michigan
Conference: nips 2023 (main track)
Keywords: approximate execution framework; real time perception; latency-accuracy tradeoffs
Decision: Poster
Title: Patch n’ Pack: NaViT, a Vision Transformer for any Aspect Ratio and Resolution
Authors: Mostafa Dehghani, Basil Mustafa, Josip Djolonga, Jonathan Heek, Matthias Minderer, Mathilde Caron, Andreas Steiner, Andreas Steiner, Joan Puigcerver, Robert Geirhos, Ibrahim Alabdulmohsin, Avital Oliver, Piotr Padlewski, Piotr Padlewski, Alexey Gritsenko, Mario Lucic, Neil Houlsby
Affiliations: Google DeepMind
Conference: nips 2023 (main track)
Keywords: Vision Transformer;variable aspect ratio;flexible inference;efficient training
Decision: Poster
Title: Does Graph Distillation See Like Vision Dataset Counterpart?
Authors: Beining Yang, Kai Wang, Qingyun Sun, Cheng Ji, Xingcheng Fu, Hao Tang, Yang You, Jianxin Li
Affiliations: National University of Singapore; Carnegie Mellon University; School of Computer Science and Engineering, Beihang University and Advanced Innovation Center for Big Data and Brain Computing, Beihang University
Conference: nips 2023 (main track)
Keywords: data-efficient learning;graph generation;graph neural networks
Decision: Poster
Title: Autonomous Capability Assessment of Sequential Decision-Making Systems in Stochastic Settings
Authors: Pulkit Verma, Rushang Karia, Siddharth Srivastava
Affiliations: Autonomous Agents and Intelligent Robots Lab, School of Computing and Augmented Intelligence, Arizona State University, AZ, USA
Conference: nips 2023 (main track)
Keywords: Sequential Decision Making;Interpretable Models;Relational Model Learning;Black-Box Agents;Symbolic Descriptions
Decision: Poster
Title: AdaptSSR: Pre-training User Model with Augmentation-Adaptive Self-Supervised Ranking
Authors: Yang Yu, Qi Liu, Kai Zhang, Yuren Zhang, Chao Song, Min Hou, Yuqing Yuan, Zhihao Ye, ZAIXI ZHANG, Sanshi Lei Yu
Affiliations: Anhui Province Key Laboratory of Big Data Analysis and Application, University of Science and Technology of China; Hefei University of Technology; OPPO Research Institute
Conference: nips 2023 (main track)
Keywords: User Model Pre-training;Data Augmentation;Contrastive Learning
Decision: Poster
Title: WBCAtt: A White Blood Cell Dataset Annotated with Detailed Morphological Attributes
Authors: Satoshi Tsutsui, Winnie Pang, Bihan Wen
Affiliations: Nanyang Technological University, Singapore
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: white blood cells;morphological attributes;microscopic image;explainable AI;computer vision
Decision: Poster
Title: Evaluating Cognitive Maps and Planning in Large Language Models with CogEval
Authors: Ida Momennejad, Hosein Hasanbeig, Felipe Vieira Frujeri, Hiteshi Sharma, Nebojsa Jojic, Hamid Palangi, Robert Ness, Jonathan Larson
Affiliations: Microsoft, Redmond, WA; Microsoft Research, New York, NY; Microsoft Research, Redmond, WA
Conference: nips 2023 (main track)
Keywords: Large Language Models;LLM evaluation;model comparison;GPT-4;graph analysis;cognitive science;cognitive map;hippocampus;planning;multi-step planning;reasoning;community graph
Decision: Poster
Title: VisionLLM: Large Language Model is also an Open-Ended Decoder for Vision-Centric Tasks
Authors: Wenhai Wang, Zhe Chen, Xiaokang Chen, Jiannan Wu, Xizhou Zhu, Gang Zeng, Ping Luo, Tong Lu, Jie Zhou, Yu Qiao, Jifeng Dai
Affiliations: Nanjing University; OpenGVLab, Shanghai AI Laboratory; Peking University; The University of HongKong; Tsinghua University; Shanghai AI Laboratory; The Chinese University of Hong Kong
Conference: nips 2023 (main track)
Keywords: Large Vision-Language Model;Detection;Image Caption
Decision: Poster
Title: Double Pessimism is Provably Efficient for Distributionally Robust Offline Reinforcement Learning: Generic Algorithm and Robust Partial Coverage
Authors: Jose Blanchet, Miao Lu, Tong Zhang, Han Zhong
Affiliations: Department of Mathematics, The Hong Kong University of Science and Technology; Center for Data Science, Peking University; Department of Management Science and Engineering, Stanford University
Conference: nips 2023 (main track)
Keywords: distributionally robust offline reinforcement learning;double pessimism;general function approximation
Decision: Poster
Title: Exposing Attention Glitches with Flip-Flop Language Modeling
Authors: Bingbin Liu, Jordan Ash, Surbhi Goel, Akshay Krishnamurthy, Cyril Zhang
Affiliations: Carnegie Mellon University; Microsoft Research NYC; University of Pennsylvania
Conference: nips 2023 (main track)
Keywords: Transformers;language models;hallucinations;long-range dependencies;generalization;extrapolation;out-of-distribution
Decision: Spotlight
Title: PolyDiffuse: Polygonal Shape Reconstruction via Guided Set Diffusion Models
Authors: Jiacheng Chen, Ruizhi Deng, Ruizhi Deng, Yasutaka Furukawa
Affiliations: Simon Fraser University
Conference: nips 2023 (main track)
Keywords: Structured Reconstruction;Floorplan Reconstruction;HD Map Construction;Diffusion Models
Decision: Poster
Title: Fair Canonical Correlation Analysis
Authors: Zhuoping Zhou, Davoud Ataee Tarzanagh, Bojian Hou, Boning Tong, Jia Xu, Yanbo Feng, Qi Long, Li Shen
Affiliations: Pennmedicine, University of Pennsylvania; University of Pennsylvania
Conference: nips 2023 (main track)
Keywords: Fairness;Canonical Correlation Analysis;Riemannian Optimization;Pareto Optimization
Decision: Poster
Title: Toward Understanding Generative Data Augmentation
Authors: Chenyu Zheng, Guoqiang Wu, Chongxuan LI
Affiliations: School of Software, Shandong University, Shandong, China; Gaoling School of Artificial Intelligence, Renmin University of China, Beijing, China
Conference: nips 2023 (main track)
Keywords: generative data augmentation;algorithmic stability;non-i.i.d. learning
Decision: Poster
Title: ClimSim: A large multi-scale dataset for hybrid physics-ML climate emulation
Authors: Sungduk Yu, Walter Hannah, Liran Peng, Jerry Lin, Mohamed Aziz Bhouri, Ritwik Gupta, Björn Lütjens, Justus C. Will, Gunnar Behrens, Julius Busecke, Nora Loose, Charles Stern, Tom Beucler, Bryce Harrop, Benjamin Hillman, Andrea Jenney, Savannah L. Ferretti, Nana Liu, Animashree Anandkumar, Noah Brenowitz, Veronika Eyring, Nicholas Geneva, Pierre Gentine, Stephan Mandt, Jaideep Pathak, Akshay Subramaniam, Carl Vondrick, Rose Yu, Laure Zanna, Tian Zheng, Ryan Abernathey, Fiaz Ahmed, David Bader, Pierre Baldi, Elizabeth Barnes, Christopher Bretherton, Peter Caldwell, Wayne Chuang, Yilun Han, YU HUANG, Fernando Iglesias-Suarez, Sanket Jantre, Karthik Kashinath, Marat Khairoutdinov, Thorsten Kurth, Nicholas Lutsko, Po-Lun Ma, Griffin Mooers, J. David Neelin, David Randall, Sara Shamekh, Mark Taylor, Nathan Urban, Janni Yuval, Guang Zhang, Mike Pritchard
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: climate;climate modeling;benchmark;dataset;baseline;emulation;superparameterization;multi-scale modeling framework;physics-informed machine learning
Decision: Oral
Title: Black-box Backdoor Defense via Zero-shot Image Purification
Authors: Yucheng Shi, Mengnan Du, Xuansheng Wu, Zihan Guan, Jin Sun, Ninghao Liu
Affiliations: Department of Data Science, New Jersey Institute of Technology; School of Computing, University of Georgia
Conference: nips 2023 (main track)
Keywords: backdoor defense;black-box defense;diffusion model
Decision: Poster
Title: UDC-SIT: A Real-World Dataset for Under-Display Cameras
Authors: Kyusu Ahn, Byeonghyun Ko, HyunGyu Lee, Chanwoo Park, Jaejin Lee
Affiliations: Dept. of Data Science, Seoul National University, Seoul, Republic of Korea; Research Center, Samsung Display Co., Ltd., Yongin, Republic of Korea; Dept. of Data Science, Seoul National University, Seoul, Republic of Korea; Dept. of Computer Science and Engineering, Seoul National University, Seoul, Republic of Korea; Dept. of Computer Science and Engineering, Seoul National University, Seoul, Republic of Korea
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Under-display camera;Image restoration;Real-world dataset;Alignment of paired images;Fourier transform
Decision: Poster
Title: BadTrack: A Poison-Only Backdoor Attack on Visual Object Tracking
Authors: Bin Huang, Jiaqian Yu, Yiwei Chen, Siyang Pan, Qiang Wang, Zhi Wang
Affiliations: Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China; Samsung Research China-Beijing, Beijing, China
Conference: nips 2023 (main track)
Keywords: Backdoor Attack;Visual Object Tracking;Deep Learning;Poison-Only
Decision: Poster
Title: Nonparametric Boundary Geometry in Physics Informed Deep Learning
Authors: Scott Cameron, Arnu Pretorius, S Roberts
Affiliations: Oxford University, Instadeep Ltd., United Kingdom; Oxford University, United Kingdom; Instadeep Ltd., South Africa
Conference: nips 2023 (main track)
Keywords: PINNs;physics informed neural networks;geometric deep learning;neural operator;PDEs
Decision: Poster
Title: Top-Ambiguity Samples Matter: Understanding Why Deep Ensemble Works in Selective Classification
Authors: Qiang Ding, Yixuan Cao, Ping Luo
Affiliations: Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China; Peng Cheng Laboratory, Shenzhen 518066, China; Key Lab of Intelligent Information Processing of Chinese Academy of Sciences (CAS), Institute of Computing Technology, CAS, Beijing 100190, China; University of Chinese Academy of Sciences, Beijing 100049, China
Conference: nips 2023 (main track)
Keywords: selective classification;uncertainty estimation;ensemble learning
Decision: Poster
Title: Contrastive Modules with Temporal Attention for Multi-Task Reinforcement Learning
Authors: Siming Lan, Rui Zhang, Qi Yi, Jiaming Guo, Shaohui Peng, Yunkai Gao, Fan Wu, Ruizhi Chen, Zidong Du, Xing Hu, xishan zhang, Ling Li, Yunji Chen
Affiliations: Intelligent Software Research Center, Institute of Software, CAS, Beijing, China; University of Science and Technology of China; State Key Lab of Processors, Institute of Computing Technology, Chinese Academy of Sciences, Beijing, China; University of Chinese Academy of Sciences, UCAS, Beijing, China
Conference: nips 2023 (main track)
Keywords: reinforcement learning;multi-task learning;contrastive learning
Decision: Poster
Title: Projection-Free Methods for Solving Nonconvex-Concave Saddle Point Problems
Authors: Morteza Boroun, Erfan Yazdandoost Hamedani, Afrooz Jalilzadeh
Affiliations: Department of Systems & Industrial Engineering, The University of Arizona, Tucson, AZ 85721
Conference: nips 2023 (main track)
Keywords: Saddle Point Problem;Projection-free method
Decision: Poster
Title: Full-Atom Protein Pocket Design via Iterative Refinement
Authors: ZAIXI ZHANG, Zepu Lu, Hao Zhongkai, Marinka Zitnik, Qi Liu
Affiliations: Harvard University; Anhui Province Key Lab of Big Data Analysis and Application, School of Computer Science and Technology, University of Science and Technology of China; State Key Laboratory of Cognitive Intelligence, Hefei, Anhui, China; Dept. of Comp. Sci. and Tech., Institute for AI, THBI Lab, BNRist Center, Tsinghua-Bosch Joint ML Center, Tsinghua
Conference: nips 2023 (main track)
Keywords: Graph Representation Learning;AI for Science
Decision: Spotlight
Title: DYffusion: A Dynamics-informed Diffusion Model for Spatiotemporal Forecasting
Authors: Salva Rühling Cachay, Bo Zhao, Hailey Joren, Rose Yu
Affiliations: University of California, San Diego
Conference: nips 2023 (main track)
Keywords: AI for science;diffusion models;scientific machine learning;probabilistic forecasting
Decision: Poster
Title: Orthogonal Non-negative Tensor Factorization based Multi-view Clustering
Authors: Jing Li, Quanxue Gao, QIANQIAN WANG, Ming Yang, Wei Xia
Affiliations: Xidian University, Xi’an, Shaanxi, China; Harbin Engineering University, Harbin, Heilongjiang, China
Conference: nips 2023 (main track)
Keywords: Multi-view clustering;tensor Schatten p-norm;non-negative matrix factorization.
Decision: Poster
Title: Rank-DETR for High Quality Object Detection
Authors: Yifan Pu, Weicong Liang, Yiduo Hao, YUHUI YUAN, Yukang Yang, Chao Zhang, Han Hu, Gao Huang
Affiliations: Microsoft Research Asia; University of Cambridge; Peking University; Tsinghua University
Conference: nips 2023 (main track)
Keywords: Object Detection
Decision: Poster
Title: Max-Margin Token Selection in Attention Mechanism
Authors: Davoud Ataee Tarzanagh, Yingcong Li, Xuechen Zhang, Samet Oymak
Affiliations: University of California, Riverside; University of Michigan, UC Riverside; University of Pennsylvania
Conference: nips 2023 (main track)
Keywords: attention mechanism;implicit bias;margin maximization;nonconvex optimization;prompt tuning
Decision: Spotlight
Title: Safety Gymnasium: A Unified Safe Reinforcement Learning Benchmark
Authors: Jiaming Ji, Borong Zhang, Jiayi Zhou, Xuehai Pan, Weidong Huang, Ruiyang Sun, Yiran Geng, Yifan Zhong, Josef Dai, Yaodong Yang
Affiliations: Institute for AI, Peking University and Beijing Institute for General Artificial Intelligence (BIGAI); Institute for AI, Peking University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Safe Reinforcement Learning;SafeRL;RL Simulator
Decision: Poster
Title: Online learning of long-range dependencies
Authors: Nicolas Zucchet, Robert Meier, Simon Schug, Asier Mujika, Joao Sacramento
Affiliations: Department of Computer Science, ETH Zürich
Conference: nips 2023 (main track)
Keywords: online learning;linear recurrent units;temporal credit assignment;biologically-plausible learning;local learning rules;neuromorphic computing
Decision: Poster
Title: DeWave: Discrete Encoding of EEG Waves for EEG to Text Translation
Authors: Yiqun Duan, Charles Chau, Zhen Wang, Yu-Kai Wang, Chin-teng Lin
Affiliations: GrapheneX-UTS HAI Centre, Australian Artiﬁcial Intelligence Institute, Faculty of Engineering and Information Technology, University of Technology Sydney, Ultimo, NSW 2007; School of Computer Science, The University of Sydney, Camperdown NSW 2050
Conference: nips 2023 (main track)
Keywords: EEG; Neural Encoding; Brain Computer Interface
Decision: Spotlight
Title: Paraphrasing evades detectors of AI-generated text, but retrieval is an effective defense
Authors: Kalpesh Krishna, Yixiao Song, Marzena Karpinska, John Wieting, Mohit Iyyer
Affiliations: University of Massachusetts Amherst; Google DeepMind
Conference: nips 2023 (main track)
Keywords: AI-generated text detection;text detection;paraphrasing;attacks;retrieval;defenses;large language models;LLMs
Decision: Poster
Title: GenEval: An object-focused framework for evaluating text-to-image alignment
Authors: Dhruba Ghosh, Hannaneh Hajishirzi, Ludwig Schmidt
Affiliations: University of Washington; University of Washington, Allen Institute for AI; University of Washington, Allen Institute for AI, LAION
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: text-to-image;vision-and-language;object detection;compositional;evaluation;framework
Decision: Poster
Title: Low Tensor Rank Learning of Neural Dynamics
Authors: Arthur Pellegrino, N Alex Cayco Gajic, Angus Chadwick
Affiliations: School of Informatics, University of Edinburgh; Département d’Etudes Cognitives, Ecole Normale Supérieure
Conference: nips 2023 (main track)
Keywords: Recurrent Neural Networks;Computational Neuroscience;Neural Data Analysis;Tensor;Learning
Decision: Poster
Title: Towards Semi-Structured Automatic ICD Coding via Tree-based Contrastive Learning
Authors: Chang Lu, Chandan Reddy, Ping Wang, Yue Ning
Affiliations: Department of Computer Science, Stevens Institute of Technology; Department of Computer Science, Virginia Tech
Conference: nips 2023 (main track)
Keywords: ICD Coding;Contrastive Learning;NLP;Healthcare;Text Categorization;Pre-training
Decision: Poster
Title: Anonymous Learning via Look-Alike Clustering: A Precise Analysis of Model Generalization
Authors: Adel Javanmard, Vahab Mirrokni
Affiliations: University of Southern California, Google Research; Google Research
Conference: nips 2023 (main track)
Keywords: high-dimensional regression;generalization error;asymptotic analysis;Convex Gaussian Minimax Theorem;regularization
Decision: Poster
Title: Connected Superlevel Set in (Deep) Reinforcement Learning and its Application to Minimax Theorems
Authors: Sihan Zeng, Thinh Doan, Justin Romberg
Affiliations: Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30318; Electrical and Computer Engineering, Virginia Tech, Blacksburg, VA 24061
Conference: nips 2023 (main track)
Keywords: Reinforcement learning;superlevel sets;minimax optimization;robust reinforcement learning
Decision: Poster
Title: Differentiable Registration of Images and LiDAR Point Clouds with VoxelPoint-to-Pixel Matching
Authors: Junsheng Zhou, Baorui Ma, Wenyuan Zhang, Yi Fang, Yu-Shen Liu, Zhizhong Han
Affiliations: Beijing Academy of Artificial Intelligence; School of Software, Tsinghua University, Beijing, China; Department of Computer Science, Wayne State University, Detroit, USA; New York University Abu Dhabi, Abu Dhabi, UAE
Conference: nips 2023 (main track)
Keywords: LiDAR Point Clouds;2D images;Cross-modality registration;Matching
Decision: Spotlight
Title: Repetition In Repetition Out: Towards Understanding Neural Text Degeneration from the Data Perspective
Authors: Huayang Li, Tian Lan, Zihao Fu, Deng Cai, Lemao Liu, Nigel Collier, Taro Watanabe, Yixuan Su
Affiliations: University of Cambridge; Nara Institute of Science and Technology; Tencent AI Lab
Conference: nips 2023 (main track)
Keywords: language modeling;text generation;natural language processing
Decision: Poster
Title: Action Inference by Maximising Evidence: Zero-Shot Imitation from Observation with World Models
Authors: Xingyuan Zhang, Philip Becker-Ehmck, Patrick van der Smagt, Maximilian Karl
Affiliations: Machine Learning Research Lab, Volkswagen Group, Eötvös Loránd University Budapest; Machine Learning Research Lab, Volkswagen Group, Technical University of Munich; Machine Learning Research Lab, Volkswagen Group
Conference: nips 2023 (main track)
Keywords: Imitation Learning;World Models;Latent Variable Model;Transfer Learning;Variational Inference
Decision: Poster
Title: Regularizing Neural Networks with Meta-Learning Generative Models
Authors: Shin'ya Yamaguchi, Daiki Chijiwa, Sekitoshi Kanai, Atsutoshi Kumagai, Hisashi Kashima
Affiliations: NTT; Kyoto University
Conference: nips 2023 (main track)
Keywords: Deep Learning;Generative Models;Generative Data Augmentation;Regularization;Meta-Learning
Decision: Poster
Title: LegalBench: A Collaboratively Built Benchmark for Measuring Legal Reasoning in Large Language Models
Authors: Neel Guha, Julian Nyarko, Daniel Ho, Christopher Ré, Adam Chilton, Aditya K, Alex Chohlas-Wood, Austin Peters, Brandon Waldon, Daniel Rockmore, Diego Zambrano, Dmitry Talisman, Enam Hoque, Faiz Surani, Frank Fagan, Galit Sarfaty, Gregory Dickinson, Haggai Porat, Jason Hegland, Jessica Wu, Joe Nudell, Joel Niklaus, John Nay, Jonathan Choi, Kevin Tobia, Margaret Hagan, Megan Ma, Michael Livermore, Nikon Rasumov-Rahe, Nils Holzenberger, Noam Kolt, Peter Henderson, Sean Rehaag, Sharad Goel, Shang Gao, Spencer Williams, Sunny Gandhi, Tom Zur, Varun Iyer, Zehua Li
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: large language models;law;benchmarks;legal reasoning;foundation models
Decision: Poster
Title: MotionGPT: Human Motion as a Foreign Language
Authors: Biao Jiang, Xin Chen, Wen Liu, Jingyi Yu, Gang Yu, Tao Chen
Affiliations: Fudan University; Fudan University and Tencent; Tencent; ShanghaiTech University
Conference: nips 2023 (main track)
Keywords: 3d motion;motion generation;human motion synthesis;text-driven;text-to-motion
Decision: Poster
Title: Weighted ROC Curve in Cost Space: Extending AUC to Cost-Sensitive Learning
Authors: HuiYang Shao, Qianqian Xu, Zhiyong Yang, Peisong Wen, Gao Peifeng, Qingming Huang
Affiliations: 2School of Computer Science and Tech., University of Chinese Academy of Sciences; 1Key Lab. of Intelligent Information Processing, Institute of Computing Tech., CAS; 3BDKM, University of Chinese Academy of Sciences; 1Key Lab. of Intelligent Information Processing, Institute of Computing Tech., CAS
Conference: nips 2023 (main track)
Keywords: AUC;Cost Learning;Bilevel;machine learning
Decision: Poster
Title: Motion-X: A Large-scale 3D Expressive Whole-body Human Motion Dataset
Authors: Jing Lin, Ailing Zeng, Shunlin Lu, Yuanhao Cai, Ruimao Zhang, Haoqian Wang, Lei Zhang
Affiliations: The Chinese University of Hong Kong, Shenzhen; Tsinghua University; International Digital Economy Academy (IDEA)
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: 3D Human Motion;  Motion Generation; Mesh Recovery; Motion Capture
Decision: Poster
Title: Probabilistic Invariant Learning with Randomized Linear Classifiers
Authors: Leonardo Cotta, Gal Yehuda, Assaf Schuster, Chris Maddison
Affiliations: University of Toronto and Vector Institute; Vector Institute; Technion, Haifa, Israel
Conference: nips 2023 (main track)
Keywords: Invariant Learning;Geometric Deep Learning;Set Representations;Graph Representations;Expressive Power;Randomized Algorithms
Decision: Poster