hunoutl/paperlists huggingface dataset:
Title: Augmentation-Aware Self-Supervision for Data-Efficient GAN Training
Authors: Liang Hou, Liang Hou, Qi Cao, Yige Yuan, Songtao Zhao, Chongyang Ma, Siyuan Pan, Pengfei Wan, Zhongyuan Wang, Zhongyuan Wang, Huawei Shen, Xueqi Cheng
Affiliations: Kuaishou Technology; CAS Key Laboratory of AI Safety and Security, Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences; Kuaishou Technology; CAS Key Laboratory of AI Safety and Security, Institute of Computing Technology, Chinese Academy of Sciences; CAS Key Laboratory of AI Safety and Security, Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences; CAS Key Laboratory of Network Data Science and Technology, Institute of Computing Technology, Chinese Academy of Sciences; University of Chinese Academy of Sciences
Conference: nips 2023 (main track)
Keywords: generative adversarial networks;limited data;self-supervised learning
Decision: Poster
Title: Transformers are uninterpretable with myopic methods: a case study with bounded Dyck grammars
Authors: Kaiyue Wen, Yuchen Li, Bingbin Liu, Andrej Risteski
Affiliations: Carnegie Mellon University; Tsinghua University
Conference: nips 2023 (main track)
Keywords: Transformer;Self Attention;Dyck Language;Context Free Grammar;Formal Language;Theory;Interpretability
Decision: Poster
Title: Percentile Criterion Optimization in Offline Reinforcement Learning
Authors: Cyrus Cousins, Elita Lobo, Marek Petrik, Yair Zick
Affiliations: Department of Computer Science, University of New Hampshire; Department of Computer Science, University of Massachusetts Amherst
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning;Bayesian Uncertainty;Robustness
Decision: Poster
Title: KD-Zero: Evolving Knowledge Distiller for Any Teacher-Student Pairs
Authors: Lujun Li, Peijie Dong, Anggeng Li, Zimian Wei, Ya Yang
Affiliations: HKUST(GZ); Huawei; CityU; NUST; HKUST
Conference: nips 2023 (main track)
Keywords: Knowledge distillation
Decision: Poster
Title: Federated Multi-Objective Learning
Authors: Haibo Yang, Zhuqing Liu, Jia Liu, Chaosheng Dong, Michinari Momma
Affiliations: Dept. of ECE, The Ohio State University, Columbus,OH 43210; Dept. of Comput. & Info. Sci., Rochester Institute of Technology, Rochester, NY 14623; Amazon.com Inc., Seattle, WA 98109
Conference: nips 2023 (main track)
Keywords: Multi-Objective Learning;Federated Learning
Decision: Poster
Title: MAViL: Masked Audio-Video Learners
Authors: Po-Yao Huang, Vasu Sharma, Hu Xu, Chaitanya Ryali, Chaitanya Ryali, haoqi fan, Yanghao Li, Shang-Wen Li, Gargi Ghosh, Jitendra Malik, Christoph Feichtenhofer
Affiliations: University of California, Berkeley; FAIR, Meta
Conference: nips 2023 (main track)
Keywords: self-supervised learning;audio representation learning;audio classification
Decision: Poster
Title: Reading Relevant Feature from Global Representation Memory for Visual Object Tracking
Authors: Xinyu Zhou, Pinxue Guo, Lingyi Hong, Jinglun Li, Wei Zhang, Weifeng Ge, Wenqiang Zhang
Affiliations: School of Computer Science, Fudan University, Shanghai, China; Academy for Engineering and Technology, Fudan University, Shanghai, China; School of Computer Science, Fudan University, Shanghai, China and Academy for Engineering and Technology, Fudan University, Shanghai, China
Conference: nips 2023 (main track)
Keywords: object tracking;global representation memory;transformer
Decision: Poster
Title: Semantic Image Synthesis with Unconditional Generator
Authors: JungWoo Chae, Hyunin Cho, Sooyeon Go, Kyungmook Choi, Youngjung Uh
Affiliations: 1. Yonsei Unviersity, Seoul, South Korea 2. LG CNS AI Research, Seoul, South Korea; Yonsei Unviersity, Seoul, South Korea
Conference: nips 2023 (main track)
Keywords: Generative model
Decision: Poster
Title: Modulated Neural ODEs
Authors: Ilze Amanda Auzina, Çağatay Yıldız, Sara Magliacane, Matthias Bethge, Efstratios Gavves
Affiliations: University of Tübingen, Tübingen AI Center; University of Amsterdam, MIT-IBM Watson AI Lab; University of Amsterdam
Conference: nips 2023 (main track)
Keywords: Neural ODEs;Modulator Variables;Dynamical Systems;Disentanglment
Decision: Poster
Title: Weakly Supervised 3D Open-vocabulary Segmentation
Authors: Kunhao Liu, Fangneng Zhan, Jiahui Zhang, MUYU XU, Yingchen Yu, Abdulmotaleb El Saddik, Christian Theobalt, Eric Xing, Shijian Lu
Affiliations: Nanyang Technological University; University of Ottawa; Carnegie Mellon University; Max Planck Institute for Informatics
Conference: nips 2023 (main track)
Keywords: 3D;open-vocabulary segmentation;neural radiance field
Decision: Poster
Title: Learning to Augment Distributions for Out-of-distribution Detection
Authors: Qizhou Wang, Zhen Fang, Yonggang Zhang, Feng Liu, Yixuan Li, Bo Han
Affiliations: School of Computing and Information Systems, The University of Melbourne; Department of Computer Science, Hong Kong Baptist University; Department of Computer Sciences, University of Wisconsin-Madison; Australian Artificial Intelligence Institute, University of Technology Sydney
Conference: nips 2023 (main track)
Keywords: OOD Detection
Decision: Poster
Title: Importance-aware Co-teaching for Offline Model-based Optimization
Authors: Ye Yuan, Can (Sam) Chen, Zixuan Liu, Willie Neiswanger, Xue (Steve) Liu
Affiliations: McGill University; MILA - Quebec AI Institute, McGill University; University of Washington; Stanford University
Conference: nips 2023 (main track)
Keywords: offline model-based optimization;co-teaching;meta-learning;sample reweighting
Decision: Poster
Title: CAPP-130: A Corpus of Chinese Application Privacy Policy Summarization and Interpretation
Authors: pengyun zhu, Long Wen, Jinfei Liu, Feng Xue, Jian Lou, Zhibo Wang, Kui Ren
Affiliations: Zhejiang University, ZJU-Hangzhou Global Scientific and Technological Innovation Center; Zhejiang University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Privacy Policy;CAPP-130 Corpus;TCSI-pp framework;Summarization;Interpretation
Decision: Poster
Title: VCC: Scaling Transformers to 128K Tokens or More by Prioritizing Important Tokens
Authors: Zhanpeng Zeng, Cole Hawkins, Mingyi Hong, Aston Zhang, Nikolaos Pappas, Vikas Singh, Shuai Zheng
Affiliations: AWS AI; University of Minnesota, Minneapolis & AWS AI; University of Wisconsin, Madison
Conference: nips 2023 (main track)
Keywords: efficient;transformer;roberta;T5;language modeling;question answering;summarization
Decision: Poster
Title: STARSS23: An Audio-Visual Dataset of Spatial Recordings of Real Scenes with Spatiotemporal Annotations of Sound Events
Authors: Kazuki Shimada, Archontis Politis, Parthasaarathy Sudarsanam, Daniel A. Krause, Kengo Uchida, Sharath Adavanne, Aapo Hakala, Yuichiro Koyama, Naoya Takahashi, Shusuke Takahashi, Tuomas Virtanen, Yuki Mitsufuji
Affiliations: Sony Group Corporation; Sony AI, Sony Group Corporation; Tampere University; Sony AI
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: audio-visual dataset;sound event localization and detection;audio-visual sound source localization;direction of arrival estimation
Decision: Poster
Title: Achieving $\mathcal{O}(\epsilon^{-1.5})$ Complexity in Hessian/Jacobian-free Stochastic Bilevel Optimization
Authors: Yifan Yang, Peiyao Xiao, Kaiyi Ji
Affiliations: Department of Computer Science and Engineering, University at Buffalo, Buffalo, NY 14260
Conference: nips 2023 (main track)
Keywords: Stochastic bilevel optimization;Hessian-free algorithms;near-optimal complexity
Decision: Poster
Title: Rethinking the Backward Propagation for Adversarial Transferability
Authors: Wang Xiaosen, Kangheng Tong, Kun He
Affiliations: Huawei Singular Security Lab; School of Computer Science and Technology, Huazhong University of Science and Technology
Conference: nips 2023 (main track)
Keywords: Adversarial examples;Convolutional neural networks;Adversarial transferability;Backward propagation
Decision: Poster
Title: EvoFed: Leveraging Evolutionary Strategies for Communication-Efficient Federated Learning
Authors: Mohammad Mahdi Rahimi, Hasnain Irshad Bhatti, Younghyun Park, Humaira Kousar, Do-Yeon Kim, Jaekyun Moon
Affiliations: KAIST
Conference: nips 2023 (main track)
Keywords: evolutionary strategies;federated learning;gradient compression;distributed learning
Decision: Poster
Title: Window-Based Distribution Shift Detection for Deep Neural Networks
Authors: Guy Bar-Shalom, Guy Bar Shalom, Yonatan Geifman, Ran El-Yaniv
Affiliations: Department of Computer Science, Technion - Israel Institute of Technology; Deci.AI; Department of Computer Science, Technion - Israel Institute of Technology, Deci.AI
Conference: nips 2023 (main track)
Keywords: Distribution shift detection;Window-based detection
Decision: Poster
Title: Type-to-Track: Retrieve Any Object via Prompt-based Tracking
Authors: Pha Nguyen, Kha Gia Quach, Kris Kitani, Khoa Luu
Affiliations: Robotics Institute, Carnegie Mellon University; pdActive Inc.; CVIU Lab, University of Arkansas
Conference: nips 2023 (main track)
Keywords: Grounded Object Tracking;Multiple Object Tracking;Vision Language
Decision: Poster
Title: Effective Robustness against Natural Distribution Shifts for Models with Different Training Data
Authors: Zhouxing Shi, Nicholas Carlini, Ananth Balashankar, Ludwig Schmidt, Cho-Jui Hsieh, Alex Beutel, Yao Qin
Affiliations: University of Washington; UCSB, Google Research; OpenAI; Google, UCLA; Google Research; UCLA
Conference: nips 2023 (main track)
Keywords: Effective robustness;natural distribution shifts;out-of-distribution robustness
Decision: Poster
Title: ATMAN: Understanding Transformer Predictions Through Memory Efficient Attention Manipulation
Authors: Björn Deiseroth, Mayukh Deb, Samuel Weinbach, Manuel Brack, Patrick Schramowski, Kristian Kersting
Affiliations: Aleph Alpha, Technical University Darmstadt, Hessian Center for Artificial Intelligence (hessian.AI), German Center for Artificial Intelligence (DFKI); Technical University Darmstadt, Hessian Center for Artificial Intelligence (hessian.AI), German Center for Artificial Intelligence (DFKI); German Center for Artificial Intelligence (DFKI), LAION; Technical University Darmstadt, Hessian Center for Artificial Intelligence (hessian.AI), German Center for Artificial Intelligence (DFKI), LAION
Conference: nips 2023 (main track)
Keywords: explainability;attention manipulation;perturbation;large language model;multi-modality;generative decoder;efficiency;transformer
Decision: Poster
Title: On the Need for a Language Describing Distribution Shifts: Illustrations on Tabular Datasets
Authors: Jiashuo Liu, Tianyu Wang, Peng Cui, Hongseok Namkoong
Affiliations: Department of Computer Science and Technology, Tsinghua University; Department of Industrial Engineering and Operations Research, Columbia University; Decision, Risk, and Operations Division, Columbia Business School
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: distribution shift types;natural distribution shifts;tabular datasets
Decision: Poster
Title: Minigrid & Miniworld: Modular & Customizable Reinforcement Learning Environments for Goal-Oriented Tasks
Authors: Maxime Chevalier-Boisvert, Bolun Dai, Mark Towers, Rodrigo Perez-Vicente, Lucas Willems, Salem Lahlou, Suman Pal, Pablo Samuel Castro, J Terry
Affiliations: Farama Foundation; Telekinesis; Miple; University of Southampton & Farama Foundation; Farama Foundation & Swarm Labs; Mila - Québec AI Institute; Google DeepMind; New York University & Farama Foundation
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: Reinforcement Learning;Simulation Environment
Decision: Poster
Title: An Iterative Self-Learning Framework for Medical Domain Generalization
Authors: Zhenbang Wu, Huaxiu Yao, David Liebovitz, Jimeng Sun
Affiliations: University of Illinois Urbana-Champaign; Northwestern University; University of North Carolina at Chapel Hill
Conference: nips 2023 (main track)
Keywords: healthcare;clinical predictive model;domain generalization
Decision: Poster
Title: Domain Watermark: Effective and Harmless Dataset Copyright Protection is Closed at Hand
Authors: Junfeng Guo, Yiming Li, Lixu Wang, Shu-Tao Xia, Heng Huang, Cong Liu, Bo Li
Affiliations: ZJU-Hangzhou Global Scientific and Technological Innovation Center, School of Cyber Science and Technology, Zhejiang University; Department of Computer Science, Northwestern University; Department of Electronic and Computer Engineering, UC Riverside; Tsinghua Shenzhen International Graduate School, Tsinghua University; Department of Computer Science, University of Illinois Urbana-Champaign, Department of Computer Science, University of Chicago; Department of Computer Science, University of Maryland
Conference: nips 2023 (main track)
Keywords: Ownership Verification;Dataset Protection;Copyright Protection;Backdoor Attack;AI Security
Decision: Poster
Title: User-Level Differential Privacy With Few Examples Per User
Authors: Badih Ghazi, Pritish Kamath, Ravi Kumar, Pasin Manurangsi, Raghu Meka, Chiyuan Zhang
Affiliations: UCLA, Los Angeles, CA, US; Google Research, Bangkok, Thailand; Google Research, Mountain View, CA, US
Conference: nips 2023 (main track)
Keywords: differential privacy;user-level privacy;PAC learning
Decision: Oral
Title: Dynamics Generalisation in Reinforcement Learning via Adaptive Context-Aware Policies
Authors: Michael Beukman, Devon Jarvis, Richard Klein, Steven James, Benjamin Rosman
Affiliations: University of the Witwatersrand; University of the Witwatersrand, University of Oxford; University of the Witwatersrand, University College London
Conference: nips 2023 (main track)
Keywords: Deep Reinforment Learning;Contextual Markov Decision Process;Neural Network Architecture
Decision: Poster
Title: How Re-sampling Helps for Long-Tail Learning?
Authors: Jiang-Xin Shi, Tong Wei, Yuke Xiang, Yu-Feng Li
Affiliations: Consumer BG, Huawei Technologies, Shenzhen, China; School of Computer Science and Engineering, Southeast University, Nanjing, China; National Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, China
Conference: nips 2023 (main track)
Keywords: long-tail learning;class-imbalanced learning;re-sampling
Decision: Poster
Title: Policy Space Diversity for Non-Transitive Games
Authors: Jian Yao, Weiming Liu, Haobo Fu, Yaodong Yang, Stephen McAleer, Qiang Fu, Wei Yang
Affiliations: Tencent AI Lab, Shenzhen, China; Carnegie Mellon University; Peking University, Beijing, China
Conference: nips 2023 (main track)
Keywords: Policy Diversity;Policy-Space Response Oracles;Nash Equilibrium;Multi-agent Reinforcement Learning
Decision: Poster
Title: Beyond Exponential Graph: Communication-Efficient Topologies for Decentralized Learning via Finite-time Convergence
Authors: Yuki Takezawa, Ryoma Sato, Han Bao, Kenta Niwa, Makoto Yamada
Affiliations: NTT Communication Science Laboratories; OIST; Kyoto University, OIST
Conference: nips 2023 (main track)
Keywords: decentralized learning;distributed optimization;network topology;consensus rate
Decision: Poster
Title: Simplicity Bias in 1-Hidden Layer Neural Networks
Authors: Depen Morwani, Jatin Batra, Prateek Jain, Praneeth Netrapalli
Affiliations: School of Technology and Computer Science, Tata Institute of Fundamental Research (TIFR); Department of Computer Science, Harvard University; Google Research
Conference: nips 2023 (main track)
Keywords: Simplicity Bias;Gradient Descent;Implicit Bias;Neural Networks
Decision: Poster
Title: Universality laws for Gaussian mixtures in generalized linear models
Authors: Yatin Dandi, Ludovic Stephan, Florent Krzakala, Bruno Loureiro, Lenka Zdeborová
Affiliations: Idephics, EPFL, Switzerland; DI, Ecole Normale Superieure, Paris, France; SPOC, EPFL, Switzerland
Conference: nips 2023 (main track)
Keywords: theoretical analysis;high-dimensional statistics;Universality;weak convergence;mixture models;sampling;statistical physics
Decision: Poster
Title: RaLEs: a Benchmark for Radiology Language Evaluations
Authors: Juanma Zambrano Chaves, Nandita Bhaskhar, Maayane Attias, Jean-Benoit Delbrouck, Daniel Rubin, Andreas Loening, Curtis Langlotz, Akshay Chaudhari
Affiliations: Stanford University
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: radiology;benchmark;natural language understanding;natural language generation
Decision: Poster
Title: SHOT: Suppressing the Hessian along the Optimization Trajectory for Gradient-Based Meta-Learning
Authors: JunHoo Lee, Jayeon Yoo, Nojun Kwak
Affiliations: Seoul National University
Conference: nips 2023 (main track)
Keywords: meta learning;Hessian;Gradient-Based meta learning;Feature Reuse;Implicit Prior
Decision: Poster
Title: Eliciting User Preferences for Personalized Multi-Objective Decision Making through Comparative Feedback
Authors: Han Shao, Lee Cohen, Avrim Blum, Yishay Mansour, Aadirupa Saha, Matthew Walter
Affiliations: Tel Aviv University and Google Research; TTIC
Conference: nips 2023 (main track)
Keywords: preference learning;algorithms;linear model;Markov decision processes;learning theory;multi-objective decision making;preference elicitation
Decision: Poster
Title: ALIM: Adjusting Label Importance Mechanism for Noisy Partial Label Learning
Authors: Mingyu Xu, Zheng Lian, Lei Feng, Bin Liu, Jianhua Tao
Affiliations: School of Computer Science and Engineering, Nanyang Technological University; The State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences; School of Artificial Intelligence, University of Chinese Academy of Sciences; Department of Automation, Tsinghua University; Beijing National Research Center for Information Science and Technology, Tsinghua University; The State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences
Conference: nips 2023 (main track)
Keywords: Partial label learning; Noisy label learning
Decision: Poster
Title: Performance Bounds for Policy-Based Average Reward Reinforcement Learning Algorithms
Authors: Yashaswini Murthy, Mehrdad Moharrami, R. Srikant
Affiliations: Electrical and Computer Engineering, University of Illinois Urbana-Champaign, Urbana, IL 61801
Conference: nips 2023 (main track)
Keywords: Average Reward MDPs;Reinforcement Learning Theory;Approximate Policy Iteration;Policy Based Methods;Performance Bounds
Decision: Poster
Title: Interpretable and Explainable Logical Policies via Neurally Guided Symbolic Abstraction
Authors: Quentin Delfosse, Hikaru Shindo, Devendra Dhami, Kristian Kersting
Affiliations: Technical University of Darmstadt, National Research Center for Applied Cybersecurity; Eindhoven University of Technology, Hessian Center for AI (hessian.AI); Technical University of Darmstadt; Technical University Darmstadt, Hessian Center for AI (hessian.AI), German Research Center for AI (DFKI)
Conference: nips 2023 (main track)
Keywords: Reinforcement Learning;First-Order-Logic;Symbolic Abstraction;Interpretable Reinforcement Learning;Logic Reinforcement Learning
Decision: Poster
Title: Revisiting Adversarial Training for ImageNet: Architectures, Training and Generalization across Threat Models
Authors: Naman Deep Singh, Francesco Croce, Matthias Hein
Affiliations: University of Tübingen, Tübingen AI Center
Conference: nips 2023 (main track)
Keywords: adversarial robustness;deep learning;vision transformers;convnext
Decision: Poster
Title: On the Statistical Consistency of Risk-Sensitive Bayesian Decision-Making
Authors: Prateek Jaiswal, Harsha Honnappa, Vinayak Rao
Affiliations: School of Industrial Engineering, Purdue University, West Lafayette, IN, 47906; Department of Statistics, Texas A&M University, College Station, TX 77843; Department of Statistics, Purdue University, West Lafayette, IN, 47907
Conference: nips 2023 (main track)
Keywords: Variational Bayes;Loss Calibration;Bayesian Statistics;Variational Inference;Statistical Theory
Decision: Poster
Title: An Information-Theoretic Evaluation of Generative Models in Learning Multi-modal Distributions
Authors: Mohammad Jalali, Cheuk Ting Li, Farzan Farnia
Affiliations: Department of Computer Science and Engineering, The Chinese University of Hong Kong; Department of Information Engineering, The Chinese University of Hong Kong; Department of Electrical and Computer Engineering, Isfahan University of Technology
Conference: nips 2023 (main track)
Keywords: Generative Models; Evaluation in Learning; Information Measures
Decision: Poster
Title: Overcoming Recency Bias of Normalization Statistics in Continual Learning: Balance and Adaptation
Authors: Yilin Lyu, Liyuan Wang, Xingxing Zhang, Zicheng Sun, Hang Su, Jun Zhu, Liping Jing
Affiliations: Dept. of Comp. Sci. & Tech., Institute for AI, BNRist Center, THBI Lab, Tsinghua-Bosch Joint Center for ML, Tsinghua University; Beijing Key Lab of Traffic Data Analysis and Mining, Beijing Jiaotong University
Conference: nips 2023 (main track)
Keywords: Continual Learning;Batch Normalization;Recency Bias;Catastrophic Forgetting
Decision: Poster
Title: Provable Guarantees for Generative Behavior Cloning: Bridging Low-Level Stability and High-Level Behavior
Authors: Adam Block, Ali Jadbabaie, Daniel Pfrommer, Max Simchowitz, Russ Tedrake
Affiliations: MIT, Cambridge, MA
Conference: nips 2023 (main track)
Keywords: Imitation Learning;Control;Diffusion Models;Optimal Transport
Decision: Poster
Title: Learning Fine-grained View-Invariant Representations from Unpaired Ego-Exo Videos via Temporal Alignment
Authors: Zihui (Sherry) Xue, Kristen Grauman
Affiliations: The University of Texas at Austin, FAIR, Meta
Conference: nips 2023 (main track)
Keywords: fine-grained video understanding;egocentric video;self-supervised learning;temporal alignment
Decision: Poster
Title: Implicit Bias of (Stochastic) Gradient Descent for Rank-1 Linear Neural Network
Authors: Bochen Lyu, Zhanxing Zhu
Affiliations: DataCanvas Lab, DataCanvas, Beijing, China; Changping National Lab & Peking University, Beijing, China
Conference: nips 2023 (main track)
Keywords: implicit bias;gradient descent;stochastic gradient descent;linear networks
Decision: Poster
Title: One Less Reason for Filter Pruning: Gaining Free Adversarial Robustness with Structured Grouped Kernel Pruning
Authors: Shaochen (Henry) Zhong, Zaichuan You, Jiamu Zhang, Sebastian Zhao, Zachary LeClaire, Zirui Liu, Daochen Zha, Vipin Chaudhary, Shuai Xu, Xia Hu
Affiliations: Electrical Engineering and Computer Sciences, UC Berkeley; Department of Computer Science, Rice University; Department of Computer and Data Sciences, Case Western Reserve University
Conference: nips 2023 (main track)
Keywords: pruning;structured pruning;adversarial robustness;grouped kernel pruning;CNN;one-shot
Decision: Poster
Title: EHRXQA: A Multi-Modal Question Answering Dataset for Electronic Health Records with Chest X-ray Images
Authors: Seongsu Bae, Daeun Kyung, Jaehee Ryu, Eunbyeol Cho, Gyubok Lee, Sunjun Kweon, Jungwoo Oh, Lei Ji, Eric Chang, Tackeun Kim, Edward Choi
Affiliations: Microsoft Research Asia; KAIST; Seoul National University Bundang Hospital; Centre of Perceptual and Interactive Intelligence
Conference: nips 2023 (Datasets & Benchmarks track)
Keywords: healthcare;multi-modal question-answering;semantic parsing;visual question answering;electronic health records;chest x-ray
Decision: Poster