hunoutl/paperlists huggingface dataset:
Title: On the Saturation Effect of Kernel Ridge Regression
Authors: Yicheng Li, Haobo Zhang, Qian Lin
Affiliations: Center for Statistical Science, Department of Industrial Engineering, Tsinghua University, Beijing, China; Center for Statistical Science, Department of Industrial Engineering, Tsinghua University, Beijing, China; Beijing Academy of Artificial Intelligence, Beijing, China
Conference: iclr 2023 (main track)
Keywords: Kernel ridge regression;Saturation effect;Reproducing kernel Hilbert space;Learning theory
Decision: Poster
Title: A critical look at the evaluation of GNNs under heterophily: Are we really making progress?
Authors: Oleg Platonov, Denis Kuznedelev, Michael Diskin, Artem Babenko, Liudmila Prokhorenkova
Affiliations: Yandex Research; Skoltech, Yandex Research; HSE University, Yandex Research; HSE University, Deepcake.io
Conference: iclr 2023 (main track)
Keywords: GNN;graph;node classification;heterophily;benchmark
Decision: Poster
Title: FINDE: Neural Differential Equations for Finding and Preserving Invariant Quantities
Authors: Takashi Matsubara, Takaharu Yaguchi
Affiliations: Osaka University, Toyonaka, Osaka, 560–8531 Japan; Kobe University, Kobe, Hyogo, 657–8501 Japan
Conference: iclr 2023 (main track)
Keywords: neural ordinary differential equations;first integral;conservetaion law
Decision: Poster
Title: WiNeRT: Towards Neural Ray Tracing for Wireless Channel Modelling and Differentiable Simulations
Authors: Tribhuvanesh Orekondy, Kumar Pratik Kumar Pratik, Shreya Kadambi, Hao Ye, Joseph Soriaga, Arash Behboodi
Affiliations: Qualcomm AI Research∗
Conference: iclr 2023 (main track)
Keywords: neural rendering;wireless;ray tracing;nerf
Decision: Poster
Title: On the Perils of Cascading Robust Classifiers
Authors: Ravi Mangal, Zifan Wang, Chi Zhang, Klas Leino, Corina Pasareanu, Matt Fredrikson
Affiliations: School of Computer Science, Carnegie Mellon University, Pittsburgh, PA 15213; Carnegie Mellon University and NASA Ames, Moffett Field, CA 94043; Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213
Conference: iclr 2023 (main track)
Keywords: Certifiable Robustness;Ensemble;Adversarial Attack;Soundness
Decision: Poster
Title: PAC-NeRF: Physics Augmented Continuum Neural Radiance Fields for Geometry-Agnostic System Identification
Authors: Xuan Li, Yi-Ling Qiao, Peter Yichen Chen, Krishna Murthy Jatavallabhula, Ming Lin, Chenfanfu Jiang, Chuang Gan
Affiliations: MIT; UC Los Angeles; MIT CSAIL; University of Maryland; UMass Amherst
Conference: iclr 2023 (main track)
Keywords: System Identification;Neural Radiance Fields;Differentiable Physics;Material Point Method
Decision: Top-25%
Title: Pre-training via Denoising for Molecular Property Prediction
Authors: Sheheryar Zaidi, Michael Schaarschmidt, James Martens, Hyunjik Kim, Yee Whye Teh, Alvaro Sanchez Gonzalez, Peter Battaglia, Razvan Pascanu, Jonathan Godwin
Affiliations: University of Oxford†, DeepMind∗; DeepMind∗; DeepMind‡
Conference: iclr 2023 (main track)
Keywords: Molecular Property Prediction;Pre-training;Graph Neural Networks;Denoising;Molecules
Decision: Top-25%
Title: OPTQ: Accurate Quantization for Generative Pre-trained Transformers
Authors: Elias Frantar, Saleh Ashkboos, Torsten Hoefler, Dan Alistarh
Affiliations: IST Austria & NeuralMagic; IST Austria; ETH Zurich
Conference: iclr 2023 (main track)
Keywords: compression;quantization;generative pre-trained transformers;GPT;second-order methods
Decision: Poster
Title: Protein Representation Learning by Geometric Structure Pretraining
Authors: Zuobai Zhang, Minghao Xu, Arian Jamasb, Vijil Chenthamarakshan, Aurelie Lozano, Payel Das, Jian Tang
Affiliations: Mila - Québec AI Institute, HEC Montréal, CIFAR AI Chair; University of Cambridge; Mila - Québec AI Institute, Université de Montréal; IBM Research
Conference: iclr 2023 (main track)
Keywords: Protein representation learning;self-supervised learning
Decision: Poster
Title: MEDICAL IMAGE UNDERSTANDING WITH PRETRAINED VISION LANGUAGE MODELS: A COMPREHENSIVE STUDY
Authors: Ziyuan Qin, Huahui Yi, Qicheng Lao, Kang Li
Affiliations: West China Biomedical Big Data Center, West China Hospital, Sichuan University; School of Artificial Intelligence, BUPT, Sichuan University Pittsburgh Institute, Shanghai AI-Lab; West China Biomedical Big Data Center, West China Hospital, Sichuan University, Sichuan University Pittsburgh Institute, Shanghai AI-Lab
Conference: iclr 2023 (main track)
Keywords: Vision Language models;Multimodality;Medical images;Few-shot learning;zero-shot
Decision: Poster
Title: Selective Frequency Network for Image Restoration
Authors: Yuning Cui, Yi Tao, Zhenshan Bing, Wenqi Ren, Xinwei Gao, Xiaochun Cao, Kai Huang, Alois Knoll
Affiliations: Sun Yat-sen University; Technical University of Munich; Tencent; MIT Universal Village Program
Conference: iclr 2023 (main track)
Keywords: Image restoration;Frequency domain;Frequency selection
Decision: Poster
Title: The In-Sample Softmax for Offline Reinforcement Learning
Authors: Chenjun Xiao, Han Wang, Yangchen Pan, Adam White, Martha White
Affiliations: Huawei Noah’s Ark Lab; University of Oxford; University of Alberta; Alberta Machine Intelligence Institute (Amii)
Conference: iclr 2023 (main track)
Keywords: Offline Reinforcement Learning
Decision: Top-25%
Title: When Source-Free Domain Adaptation Meets Learning with Noisy Labels
Authors: Li Yi, Gezheng Xu, Pengcheng Xu, Jiaqi Li, Ruizhi Pu, Charles Ling, Ian McLeod, Boyu Wang
Affiliations: Department of Computer Science, University of Western Ontario; Department of Statistical and Actuarial Sciences, Department of Computer Science, University of Western Ontario; Department of Statistical and Actuarial Sciences, University of Western Ontario
Conference: iclr 2023 (main track)
Keywords: Source-Free Domain Adaptation;Unsupervised Domain Adaptation;Noisy Label Learning
Decision: Top-25%
Title: Understanding weight-magnitude hyperparameters in training binary networks
Authors: Joris Quist, Yunqiang Li, Jan Gemert
Affiliations: Computer Vision Lab, Delft University of technology; Axelera AI; Computer Vision Lab, Delft University of technology
Conference: iclr 2023 (main track)
Keywords: Binary Neural Networks;Optimization;Digital Signal Processing;Inifnite Impulse Response Filter
Decision: Poster
Title: Meta-Learning in Games
Authors: Keegan Harris, Ioannis Anagnostides, Gabriele Farina, Mikhail Khodak, Steven Wu, Tuomas Sandholm
Affiliations: Carnegie Mellon University, Strategy Robot, Inc., Optimized Markets, Inc., Strategic Machine, Inc.; Carnegie Mellon University; FAIR, Meta AI
Conference: iclr 2023 (main track)
Keywords: meta-learning;algorithmic game theory;online learning
Decision: Poster
Title: GFlowNets and variational inference
Authors: Nikolay Malkin, Salem Lahlou, Tristan Deleu, Xu Ji, Edward Hu, Katie Everett, Dinghuai Zhang, Yoshua Bengio
Affiliations: Mila, Universit ´e de Montr ´eal, CIFAR; Mila, Universit ´e de Montr ´eal; Google Research
Conference: iclr 2023 (main track)
Keywords: variational inference;GFlowNets;probabilistic modeling;weighted importance sampling
Decision: Poster
Title: Adversarial Diversity in Hanabi
Authors: Brandon Cui, Andrei Lupu, Samuel Sokota, Hengyuan Hu, David Wu, Jakob Foerster
Affiliations: Carnegie Mellon University; Meta AI; MosaicML; FLAIR, University of Oxford; Stanford University; Meta AI & FLAIR, University of Oxford
Conference: iclr 2023 (main track)
Keywords: coordination;diversity;multi-agent reinforcement learning
Decision: Top-25%
Title: REVISITING PRUNING AT INITIALIZATION THROUGH THE LENS OF RAMANUJAN GRAPH
Authors: Duc Hoang, Shiwei Liu, Radu Marculescu, Zhangyang Wang
Affiliations: Department of Electrical and Computer Engineering, University of Texas at Austin, Austin, TX 78712, USA
Conference: iclr 2023 (main track)
Keywords: pruning at initialization;graph theory;Ramanujan Graph;sparse neural networks
Decision: Top-5%
Title: Learning to Solve Constraint Satisfaction Problems with Recurrent Transformer
Authors: Zhun Yang, Adam Ishay, Joohyung Lee
Affiliations: School of Computing and AI, Arizona State University, AZ, USA; School of Computing and AI, Arizona State University, AZ, USA & Global AI Center, Samsung Research, S. Korea
Conference: iclr 2023 (main track)
Keywords: transformer;constraint reasoning;semi-supervised learning
Decision: Poster
Title: Offline RL with No OOD Actions: In-Sample Learning via Implicit Value Regularization
Authors: Haoran Xu, Li Jiang, Jianxiong Li, Zhuoran Yang, Zhaoran Wang, Wai Chan, Xianyuan Zhan
Affiliations: Tsinghua-Berkeley Shenzhen Institute (TBSI), Tsinghua University; Yale University; Institute for AI Industry Research (AIR), Tsinghua University; Northwestern University; Shanghai Artificial Intelligence Laboratory
Conference: iclr 2023 (main track)
Keywords: Deep Reinforcement Learning;Offline Reinforcement Learning;Value Regularization;Continuous Control
Decision: Top-5%
Title: Understanding Embodied Reference with Touch-Line Transformer
Authors: Yang Li, Xiaoxue Chen, Hao Zhao, Jiangtao Gong, Guyue Zhou, Federico Rossano, Yixin Zhu
Affiliations: Department of Cognitive Science, UCSD; Institute for AI Industry Research, Tsinghua University; Institute for Artificial Intelligence, Peking University
Conference: iclr 2023 (main track)
Decision: Poster
Title: On the complexity of nonsmooth automatic differentiation
Authors: Jerome Bolte, Ryan Boustany, Edouard Pauwels, Béatrice Pesquet-Popescu
Affiliations: Thales LAS France; Universit ´e de Toulouse; IRIT, CNRS. Institut Universitaire de France (IUF); Toulouse School of Economics; Universit ´e de Toulouse; Toulouse School of Economics; Universit ´e de Toulouse; Thales LAS France
Conference: iclr 2023 (main track)
Keywords: Automatic differentiation;nonsmooth derivatives;computational complexity;cheap derivatives;conservative gradients
Decision: Top-25%
Title: Generative Augmented Flow Networks
Authors: Ling Pan, Dinghuai Zhang, Aaron Courville, Longbo Huang, Yoshua Bengio
Affiliations: Mila - Quebec AI Institute, Universite de Montreal, CIFAR AI Chair; Mila - Quebec AI Institute, Universite de Montreal; Tsinghua University
Conference: iclr 2023 (main track)
Keywords: Generative Flow Networks (GFlowNets);Exploration
Decision: Top-25%
Title: Simple and Scalable Nearest Neighbor Machine Translation
Authors: Yuhan Dai, Zhirui Zhang, Qiuzhi Liu, Qu Cui, WeiHua Li, Yichao Du, Tong Xu
Affiliations: University of Science and Technology of China; Tencent AI Lab
Conference: iclr 2023 (main track)
Keywords: Nearest Neighbor;Machine Translation
Decision: Poster
Title: Outcome-directed Reinforcement Learning by Uncertainty \& Temporal Distance-Aware Curriculum Goal Generation
Authors: Daesol Cho, Seungjae Lee, H. Kim
Affiliations: Seoul National University, Automation and Systems Research Institute (ASRI), Artificial Intelligence Institute of Seoul National University (AIIS)
Conference: iclr 2023 (main track)
Keywords: Curriculum Learning;Outcome-directed RL;Goal-conditioned RL
Decision: Top-25%
Title: On the Effectiveness of Out-of-Distribution Data in Self-Supervised Long-Tail Learning.
Authors: Jianhong Bai, Zuozhu Liu, Hualiang Wang, Jin Hao, YANG FENG, Huanpeng Chu, Haoji Hu
Affiliations: Harvard University; The Hong Kong University of Science and Technology; Zhejiang University; Angelalign Technology
Conference: iclr 2023 (main track)
Keywords: self-supervised learning;long-tail learning;out-of-distribution data
Decision: Poster
Title: Retrieval-based Controllable Molecule Generation
Authors: Jack Wang, Weili Nie, Zhuoran Qiao, Chaowei Xiao, Richard Baraniuk, anima anandkumar
Affiliations: Caltech; NVIDIA; NVIDIA, Caltech; NVIDIA, ASU; Rice University
Conference: iclr 2023 (main track)
Keywords: controllable molecule generation;retrieval mechanism;exemplar molecules;drug discovery
Decision: Top-25%
Title: Benchmarking Constraint Inference in Inverse Reinforcement Learning
Authors: Guiliang Liu, Yudong Luo, Ashish Gaurav, Kasra Rezaee, Pascal Poupart
Affiliations: Huawei; The Chinese University of Hong Kong, Shenzhen; University of Waterloo
Conference: iclr 2023 (main track)
Keywords: Inverse Reinforcement Learning;Constrained Reinforcement Learning;Variational Bayesian Inference
Decision: Poster
Title: Phenaki: Variable Length Video Generation from Open Domain Textual Descriptions
Authors: Ruben Villegas, Mohammad Babaeizadeh, Pieter-Jan Kindermans, Hernan Moraldo, Han Zhang, Mohammad Taghi Saffar, Santiago Castro, Julius Kunze, Dumitru Erhan
Affiliations: University of Michigan; Google Brain; University College London
Conference: iclr 2023 (main track)
Keywords: generative models;video generation;video prediction;text to video
Decision: Poster
Title: Crossformer: Transformer Utilizing Cross-Dimension Dependency for Multivariate Time Series Forecasting
Authors: Yunhao Zhang, Junchi Yan
Affiliations: MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University and Shanghai AI Lab
Conference: iclr 2023 (main track)
Keywords: Transformer;multivariate time series forecasting;deep learning
Decision: Top-5%
Title: Automated Data Augmentations for Graph Classification
Authors: Youzhi Luo, Michael McThrow, Wing Yee Au, Tao Komikado, Kanji Uchino, Koji Maruhashi, Shuiwang Ji
Affiliations: Fujitsu Research of America, INC., CA, USA; Fujitsu Research, Fujitsu Limited, Kanagawa, Japan; Texas A&M University, TX, USA
Conference: iclr 2023 (main track)
Keywords: Data Augmentation;Graph Classification;Label-invariance
Decision: Poster
Title: A General Framework For Proving The Equivariant Strong Lottery Ticket Hypothesis
Authors: Damien Ferbach, Christos Tsirigotis, Gauthier Gidel, Joey Bose
Affiliations: Université de Montréal and Mila; McGill University and Mila; École Normale Supérieure, PSL, and Mila
Conference: iclr 2023 (main track)
Keywords: Equivariant Networks;Strong Lottery Ticket;Weight Pruning
Decision: Poster
Title: One Transformer Can Understand Both 2D & 3D Molecular Data
Authors: Shengjie Luo, Tianlang Chen, Yixian Xu, Shuxin Zheng, Tie-Yan Liu, Liwei Wang, Di He
Affiliations: School of EECS, Peking University; Microsoft Research; National Key Laboratory of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University; Center for Data Science, Peking University
Conference: iclr 2023 (main track)
Keywords: Transformer;general-purpose molecular model;2D molecular representation;3D molecular representation
Decision: Poster
Title: WikiWhy: Answering and Explaining Cause-and-Effect Questions
Authors: Matthew Ho, Aditya Sharma, Justin Chang, Michael Saxon, Sharon Levy, Yujie Lu, William Wang
Affiliations: Department of Computer Science, University of California, Santa Barbara, USA
Conference: iclr 2023 (main track)
Keywords: NLP;Question Answering;LLM;Dataset;Explanation
Decision: Top-5%
Title: Learning differentiable solvers for systems with hard constraints
Authors: Geoffrey Négiar, Michael W Mahoney, Aditi Krishnapriyan
Affiliations: University of California, Berkeley; Lawrence Berkeley National Laboratory; International Computer Science Institute; University of California, Berkeley; Lawrence Berkeley National Laboratory
Conference: iclr 2023 (main track)
Keywords: differentiable optimization;PDEs;physics;neural networks;differentiable constraints;dictionary learning
Decision: Poster
Title: Discovering Informative and Robust Positives for Video Domain Adaptation
Authors: Chang Liu, Kunpeng Li, Michael Stopa, Jun Amano, Yun Fu
Affiliations: Konica Minolta, San Mateo, CA, USA; Northeastern University, Boston, MA, USA
Conference: iclr 2023 (main track)
Keywords: Domain Adaptation;Video Recognition
Decision: Poster
Title: Moving Forward by Moving Backward: Embedding Action Impact over Action Semantics
Authors: Kuo-Hao Zeng, Luca Weihs, Roozbeh Mottaghi, Ali Farhadi
Affiliations: PRIOR @ Allen Institute for AI; Paul G. Allen School of Computer Science & Engineering, University of Washington
Conference: iclr 2023 (main track)
Keywords: Embodied AI;Adaptation;Visual Navigation
Decision: Top-5%
Title: Neural Causal Models for Counterfactual Identification and Estimation
Authors: Kevin M Xia, Yushu Pan, Elias Bareinboim
Affiliations: Causal Artificial Intelligence Laboratory, Columbia University, USA
Conference: iclr 2023 (main track)
Keywords: causal inference;deep learning;neural models;neural causal models;causal identification;causal estimation;counterfactual
Decision: Poster
Title: Towards Robust Object Detection Invariant to Real-World Domain Shifts
Authors: Qi Fan, Mattia Segu, Yu-Wing Tai, Fisher Yu, Chi-Keung Tang, Bernt Schiele, Dengxin Dai
Affiliations: Max Planck Institute for Informatics, Saarland Informatics Campus; The Hong Kong University of Science and Technology; ETH Zurich
Conference: iclr 2023 (main track)
Keywords: robust object detection;autonomous driving
Decision: Poster
Title: AANG : Automating Auxiliary Learning
Authors: Lucio Dery, Paul Michel, Mikhail Khodak, Graham Neubig, Ameet Talwalkar
Affiliations: Hewlett Packard Enterprise; Carnegie Mellon University; ENS PSL University
Conference: iclr 2023 (main track)
Keywords: auxiliary learning;automl;natural language processing;meta-learning;algorithmic stability;multitask learning
Decision: Top-25%
Title: Minimum Variance Unbiased N:M Sparsity for the Neural Gradients
Authors: Brian Chmiel, Itay Hubara, Ron Banner, Daniel Soudry
Affiliations: Habana Labs – An Intel company, Caesarea, Israel; Department of Electrical Engineering - Technion, Haifa, Israel
Conference: iclr 2023 (main track)
Keywords: pruning;compression;structured sparsity;acceleration
Decision: Top-25%
Title: A Non-monotonic Self-terminating Language Model
Authors: Eugene Choi, Kyunghyun Cho, Cheolhyoung Lee
Affiliations: New York University; New York University, Prescient Design, Genentech, CIFAR Fellow
Conference: iclr 2023 (main track)
Keywords: non-terminating sequences;language modeling;sequence completion;decoding;consistency;self-terminating
Decision: Poster
Title: Advancing Radiograph Representation Learning with Masked Record Modeling
Authors: Hong-Yu Zhou, Chenyu Lian, Liansheng Wang, Yizhou Yu
Affiliations: Department of Computer Science, The University of Hong Kong; School of Informatics, Xiamen University
Conference: iclr 2023 (main track)
Keywords: Representation Learning;Radiograph;Self-supervised Learning;Medical Imaging
Decision: Poster
Title: The Modality Focusing Hypothesis: Towards Understanding Crossmodal Knowledge Distillation
Authors: Zihui Xue, Zhengqi Gao, Sucheng Ren, Hang Zhao
Affiliations: Massachusetts Institute of Technology; South China University of Technology; The University of Texas at Austin; Tsinghua University, Shanghai Qi Zhi Institute
Conference: iclr 2023 (main track)
Keywords: multimodal learning;knowledge distillation
Decision: Top-5%
Title: Sparse MoE as the New Dropout: Scaling Dense and Self-Slimmable Transformers
Authors: Tianlong Chen, Zhenyu Zhang, AJAY JAISWAL, Shiwei Liu, Zhangyang Wang
Affiliations: VITA Group, University of Texas at Austin
Conference: iclr 2023 (main track)
Keywords: Sparse Mixture-of-Experts;Random Routing;Transformer Training;Dropout
Decision: Top-25%
Title: Subsampling in Large Graphs Using Ricci Curvature
Authors: Shushan Wu, Huimin Cheng, Jiazhang Cai, Ping Ma, Wenxuan Zhong
Affiliations: Department of Statistics, University of Georgia, Athens, GA 30605, USA
Conference: iclr 2023 (main track)
Keywords: Graph subsampling;Ricci curvature
Decision: Poster
Title: Cycle-consistent Masked AutoEncoder for Unsupervised Domain Generalization
Authors: Haiyang Yang, Xiaotong Li, SHIXIANG TANG, Feng Zhu, Yizhou Wang, Meilin Chen, LEI BAI, Rui Zhao, Wanli Ouyang
Affiliations: SenseTime Research; Shanghai AI Laboratory; Peking University; The University of Sydney; Nanjing University; Zhejiang University
Conference: iclr 2023 (main track)
Decision: Poster
Title: Bidirectional Language Models Are Also Few-shot Learners
Authors: Ajay Patel, Bryan Li, Mohammad Rasooli, Noah Constant, Colin Raffel, Chris Callison-Burch
Affiliations: Google Research; UNC Chapel Hill; Microsoft; University of Pennsylvania
Conference: iclr 2023 (main track)
Keywords: prompting;prompt-based learning;mt5;t5;machine translation;llm;large language models
Decision: Poster
Title: Robust and Controllable Object-Centric Learning through Energy-based Models
Authors: Ruixiang ZHANG, Tong Che, Boris Ivanovic, Renhao Wang, Marco Pavone, Yoshua Bengio, Liam Paull
Affiliations: Mila, Université de Montréal; Stanford University; Nvidia Research
Conference: iclr 2023 (main track)
Decision: Poster
Title: A Closer Look at Model Adaptation using Feature Distortion and Simplicity Bias
Authors: Puja Trivedi, Danai Koutra, Jayaraman J. Thiagarajan
Affiliations: CSE Department, University of Michigan; Center of Applied Scientific Computing, Lawrence Livermore Natl. Laboratory
Conference: iclr 2023 (main track)
Keywords: Transfer Learning;Robustness;Adaptation;Data Augmentation
Decision: Top-25%
Title: Fairness-aware Contrastive Learning with Partially Annotated Sensitive Attributes
Authors: Fengda Zhang, Kun Kuang, Long Chen, Yuxuan Liu, Chao Wu, Jun Xiao
Affiliations: The Hong Kong University of Science and Technology; Zhejiang University, Key Laboratory for Corneal Diseases Research of Zhejiang Province; Zhejiang University
Conference: iclr 2023 (main track)
Keywords: Fair Representation Learning;Semi-supervised Learning;Contrastive Learning;Data Augmentation
Decision: Poster
Title: Hard-Meta-Dataset++: Towards Understanding Few-Shot Performance on Difficult Tasks
Authors: Samyadeep Basu, Megan Stanley, John Bronskill, Soheil Feizi, Daniela Massiceti
Affiliations: University of Maryland, College Park; University of Cambridge; Microsoft Research
Conference: iclr 2023 (main track)
Keywords: Few-shot learning;Meta-Dataset;Benchmarks;Evaluation
Decision: Poster
Title: 3D UX-Net: A Large Kernel Volumetric ConvNet Modernizing Hierarchical Transformer for Medical Image Segmentation
Authors: Ho Hin Lee, Shunxing Bao, Yuankai Huo, Bennett Landman
Affiliations: Vanderbilt University
Conference: iclr 2023 (main track)
Keywords: Depth-wise Convolution;Large Kernel Convolution;Convolutional Neural Network;Hierarchical Transformer;Volumetric Segmentation;Medical Image Segmentation
Decision: Poster
Title: Learning to Decompose Visual Features with Latent Textual Prompts
Authors: Feng Wang, Manling Li, Xudong Lin, Hairong Lv, Alex Schwing, Heng Ji
Affiliations: University of Illinois at Urbana-Champaign; Columbia University; Tsinghua University
Conference: iclr 2023 (main track)
Keywords: CLIP;vision-language learning;visual prompt
Decision: Poster
Title: Calibration Matters: Tackling Maximization Bias in Large-scale Advertising Recommendation Systems
Authors: Yewen Fan, Nian Si, Kun Zhang
Affiliations: University of Chicago Booth School of Business; Carnegie Mellon University; Carnegie Mellon University and Mohamed bin Zayed University of Artificial Intelligence
Conference: iclr 2023 (main track)
Keywords: Maximization bias;calibration;distribution shifts;neural networks;recommendation system;computational advertisement
Decision: Poster
Title: FairGBM: Gradient Boosting with Fairness Constraints
Authors: André F Cruz, Catarina Belém, João Bravo, Pedro Saleiro, Pedro Bizarro
Affiliations: Feedzai, UC Irvine; Feedzai; Feedzai, MPI for Intelligent Systems, Tübingen
Conference: iclr 2023 (main track)
Keywords: fairness;gradient boosting;constrained optimization;tabular data
Decision: Poster
Title: Is Attention All That NeRF Needs?
Authors: Mukund Varma T, Peihao Wang, Xuxi Chen, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang
Affiliations: University of Texas at Austin; Indian Institute of Technology Madras; Google Research
Conference: iclr 2023 (main track)
Keywords: Neural Radiance Field;Transformer;Neural Rendering
Decision: Poster
Title: TextShield: Beyond Successfully Detecting Adversarial Sentences in text classification
Authors: Lingfeng Shen, Ze Zhang, Haiyun Jiang, Ying Chen
Affiliations: Tencent AI Lab; Johns Hopkins University; College of Information and Electrical Engineering, China Agricultural University; Tsinghua University
Conference: iclr 2023 (main track)
Keywords: Natural language processing;Adversarial defense;Adversarial attack;Text Classification
Decision: Poster