hunoutl/paperlists huggingface dataset:
Title: Rayleigh Quotient Graph Neural Networks for Graph-level Anomaly Detection
Authors: Xiangyu Dong, Xingyi Zhang, Sibo WANG
Affiliations: Department of Systems Engineering and Engineering Management, The Chinese University of Hong Kong
Conference: iclr 2024 (main track)
Keywords: Graph-level anomaly detection;Spectral GNN;Rayleigh Quotient
Decision: Poster
Title: Locality-Aware Graph Rewiring in GNNs
Authors: Federico Barbero, Ameya Velingker, Amin Saberi, Michael Bronstein, Francesco Di Giovanni
Affiliations: Stanford University, Department of Management Science and Engineering; University of Oxford, Department of Computer Science; Google Research
Conference: iclr 2024 (main track)
Keywords: Graph Neural Networks;Message Passing Neural Networks;Over-squashing;Graph Rewiring
Decision: Poster
Title: Towards Non-Asymptotic Convergence for Diffusion-Based Generative Models
Authors: Gen Li, Yuting Wei, Yuxin Chen, Yuejie Chi
Affiliations: Department of Statistics and Data Science, Wharton School, University of Pennsylvania, Philadelphia, PA 19104, USA.; Department of Electrical and Systems Engineering, University of Pennsylvania, Philadelphia, PA 19104, USA.; Department of Electrical and Computer Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, USA.; Department of Statistics, The Chinese University of Hong Kong, Hong Kong.
Conference: iclr 2024 (main track)
Keywords: diffusion models;score-based generative modeling;non-asymptotic theory;reverse SDE;probability flow ODE;denoising diffusion probabilistic model
Decision: Poster
Title: Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data
Authors: YongKyung Oh, Dongyoung Lim, Sungil Kim
Affiliations: Ulsan National Institute of Science and Technology, Republic of Korea
Conference: iclr 2024 (main track)
Keywords: Neural Ordinary Differential Equations;Neural Stochastic Differential Equations;Irregular time series data
Decision: Spotlight
Title: Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels
Authors: Zahra Babaiee, Peyman Kiasari, Daniela Rus, Radu Grosu
Affiliations: TU Vienna & MIT; MIT; TU Vienna
Conference: iclr 2024 (main track)
Keywords: Depthwise Convolutions;Explainability;Neuroscience;Computer Vision;ConvNext
Decision: Poster
Title: Learning from Sparse Offline Datasets via Conservative Density Estimation
Authors: Zhepeng Cen, Zuxin Liu, Zitong Wang, Yihang Yao, Henry Lam, DING ZHAO
Affiliations: Carnegie Mellon University; Columbia University
Conference: iclr 2024 (main track)
Keywords: offline reinforcement learning;stationary distribution correction estimation
Decision: Poster
Title: Llemma: An Open Language Model for Mathematics
Authors: Zhangir Azerbayev, Hailey Schoelkopf, Keiran Paster, Marco Dos Santos, Stephen McAleer, Qiaochu Jiang, Jia Deng, Stella R Biderman, Sean Welleck
Affiliations: Princeton University; EleutherAI; Carnegie Mellon University; University of Washington; University of Toronto; University of Cambridge
Conference: iclr 2024 (main track)
Keywords: reasoning;language models;pretraining
Decision: Poster
Title: Tackling the Data Heterogeneity in Asynchronous Federated Learning with Cached Update Calibration
Authors: Yujia Wang, Yuanpu Cao, Jingcheng Wu, Ruoyu Chen, Jinghui Chen
Affiliations: Carnegie Mellon University; The Pennsylvania State University
Conference: iclr 2024 (main track)
Keywords: Federated learning;Nonconvex optimization
Decision: Poster
Title: EMO: EARTH MOVER DISTANCE OPTIMIZATION FOR AUTO-REGRESSIVE LANGUAGE MODELING
Authors: Siyu Ren, Zhiyong Wu, Kenny Zhu
Affiliations: Shanghai AI Laboratory; Shanghai Jiao Tong University; University of Texas at Arlington
Conference: iclr 2024 (main track)
Keywords: language modeling;earth mover distance;language generation;language understanding
Decision: Poster
Title: Scalable Neural Network Kernels
Authors: Arijit Sehanobish, Krzysztof Choromanski, YUNFAN ZHAO, Kumar Dubey, Valerii Likhosherstov
Affiliations: Independent Researcher; Harvard University; Google DeepMind & Columbia University; Waymo; Google Research
Conference: iclr 2024 (main track)
Keywords: scalable kernel methods;random features;deep neural networks
Decision: Poster
Title: Pessimistic Nonlinear Least-Squares Value Iteration for Offline Reinforcement Learning
Authors: Qiwei Di, Heyang Zhao, Jiafan He, Quanquan Gu
Affiliations: Department of Computer Science, University of California, Los Angeles
Conference: iclr 2024 (main track)
Keywords: Offline reinforcement learning;instance-dependent;least-squares value iteration
Decision: Poster
Title: DREAM: Dual Structured Exploration with Mixup for Open-set Graph Domain Adaption
Authors: Nan Yin, Mengzhu Wang, Zhenghan Chen, Li Shen, Huan Xiong, Bin Gu, Xiao Luo
Affiliations: Hebei University of Technology; University of California, Los Angeles; Peking University; JD Explore Academy; Mohamed bin Zayed University of Artificial Intelligence
Conference: iclr 2024 (main track)
Keywords: Open-set Recognization;Graph Classification;Domain Adaptation
Decision: Poster
Title: Learning 3D Particle-based Simulators from RGB-D Videos
Authors: William Whitney, Tatiana Lopez-Guevara, Tobias Pfaff, Yulia Rubanova, Thomas Kipf, Kimberly Stachenfeld, Kelsey Allen
Affiliations: Google DeepMind
Conference: iclr 2024 (main track)
Keywords: simulation;dynamics;nerf;particle dynamics
Decision: Poster
Title: PAC Prediction Sets Under Label Shift
Authors: Wenwen Si, Sangdon Park, Insup Lee, Edgar Dobriban, Osbert Bastani
Affiliations: Department of Statistics and Data Science, University of Pennsylvania; Graduate School of AI and Computer Science & Engineering, POSTECH; Department of Computer & Information Science, University of Pennsylvania
Conference: iclr 2024 (main track)
Keywords: prediction set;label shift;distribution-free uncertainty quantification;probably approximately correct;Clopper-Pearson binomial interval;rejection sampling
Decision: Poster
Title: Space and time continuous physics simulation from partial observations
Authors: Steeven Janny, Madiha Nadri, Julie Digne, Christian Wolf
Affiliations: LIRIS, INSA Lyon, France; Naver Labs Europe, France; LIRIS, CNRS, France; LAGEPP, Univ. Lyon 1, France
Conference: iclr 2024 (main track)
Keywords: Physics;simulation;interpolation
Decision: Spotlight
Title: Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders
Authors: Hien Dang, Tho-Huu Tran, Tan Nguyen, Nhat Ho
Affiliations: Department of Statistics and Data Sciences, University of Texas at Austin; Department of Mathematics, National University of Singapore; FPT Software AI Center
Conference: iclr 2024 (main track)
Keywords: variational autoencoders;posterior collapse
Decision: Poster
Title: Habitat 3.0: A Co-Habitat for Humans, Avatars, and Robots
Authors: Xavier Puig, Eric Undersander, Andrew Szot, Mikael Dallaire Cote, Tsung-Yen Yang, Ruslan Partsey, Ruta Desai, Alexander Clegg, Michal Hlavac, So Yeon Min, Vladimír Vondruš, Theophile Gervet, Vincent-Pierre Berges, John Turner, Oleksandr Maksymets, Zsolt Kira, Mrinal Kalakrishnan, Jitendra Malik, Devendra Singh Chaplot, Unnat Jain, Dhruv Batra, Akshara Rai, Roozbeh Mottaghi
Affiliations: FAIR, Meta
Conference: iclr 2024 (main track)
Keywords: Embodied AI;Simulation
Decision: Poster
Title: Be Aware of the Neighborhood Effect: Modeling Selection Bias under Interference
Authors: Haoxuan Li, Chunyuan Zheng, Sihao Ding, Peng Wu, Zhi Geng, Fuli Feng, Xiangnan He
Affiliations: University of Science and Technology of China; Peking University; Beijing Technology and Business University
Conference: iclr 2024 (main track)
Keywords: Selection Bias;Neighborhood effect;Recommender system
Decision: Poster
Title: Towards Identifiable Unsupervised Domain Translation: A Diversified Distribution Matching Approach
Authors: Sagar Shrestha, Xiao Fu
Affiliations: School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331, USA
Conference: iclr 2024 (main track)
Keywords: unsupervised domain translation;translation identifiability;distribution matching;unpaired image to image translation
Decision: Poster
Title: How to Catch an AI Liar: Lie Detection in Black-Box LLMs by Asking Unrelated Questions
Authors: Lorenzo Pacchiardi, Alex Chan, Sören Mindermann, Ilan Moscovitz, Alexa Pan, Yarin Gal, Owain Evans, Jan Brauner
Affiliations: Yale University; University of Cambridge; Independent; University of Oxford
Conference: iclr 2024 (main track)
Keywords: language models;lying;deception;alignment;safety;truthfulness;honesty
Decision: Poster
Title: Demystifying CLIP Data
Authors: Hu Xu, Saining Xie, Xiaoqing Tan, Po-Yao Huang, Russell Howes, Vasu Sharma, Shang-Wen Li, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer
Affiliations: New York University; University of Washington; FAIR, Meta AI
Conference: iclr 2024 (main track)
Keywords: multi-modal pretraining;CLIP;image;text
Decision: Spotlight
Title: Image2Sentence based Asymmetrical Zero-shot Composed Image Retrieval
Authors: Yongchao Du, Min Wang, Wengang Zhou, Shuping Hui, Houqiang Li
Affiliations: Institute of Artiﬁcial Intelligence, Hefei Comprehensive National Science Center; CAS Key Laboratory of Technology in GIPAS, University of Science and Technology of China
Conference: iclr 2024 (main track)
Keywords: zero-shot;composed image retrieval;asymmetrical
Decision: Spotlight
Title: Physics-Regulated Deep Reinforcement Learning: Invariant Embeddings
Authors: Hongpeng Cao, Yanbing Mao, Lui Sha, Marco Caccamo
Affiliations: UIUC, United States; WSU, United States; TUM, Germany
Conference: iclr 2024 (main track)
Keywords: Physics-informed deep reinforcement learning;Safety-critical autonomous systems
Decision: Spotlight
Title: The Effective Horizon Explains Deep RL Performance in Stochastic Environments
Authors: Cassidy Laidlaw, Banghua Zhu, Stuart Russell, Anca Dragan
Affiliations: University of California, Berkeley
Conference: iclr 2024 (main track)
Keywords: reinforcement learning;effective horizon;RL theory;theory of reinforcement learning;instance-dependent bounds;empirical validation of theory
Decision: Spotlight
Title: Weatherproofing Retrieval for Localization with Generative AI and Geometric Consistency
Authors: Yannis Kalantidis, Mert Bulent SARIYILDIZ, Rafael Rezende, Philippe Weinzaepfel, Diane Larlus, Gabriela Csurka
Affiliations: NAVER LABS Europe
Conference: iclr 2024 (main track)
Keywords: visual localization;image retrieval;synthetic data;domain shift;geometric consistency;long-term visual localization;ret4loc;image alteration
Decision: Poster
Title: When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method
Authors: Biao Zhang, Zhongtao Liu, Colin Cherry, Orhan Firat
Affiliations: Google DeepMind; Google Research
Conference: iclr 2024 (main track)
Keywords: LLM finetuning;Scaling Laws;Full-model finetuning;Parameter efficient tuning;Machine Translation;Multilingual Summarization
Decision: Poster
Title: An Intuitive Multi-Frequency Feature Representation for SO(3)-Equivariant Networks
Authors: Dongwon Son, Jaehyung Kim, Sanghyeon Son, Beomjoon Kim
Affiliations: Department of AI, KAIST
Conference: iclr 2024 (main track)
Keywords: Equivariant networks;SO(3) Equivariance;Fourier features
Decision: Poster
Title: Implicit Neural Representation Inference for Low-Dimensional Bayesian Deep Learning
Authors: Panagiotis Dimitrakopoulos, Giorgos Sfikas, Christophoros Nikou
Affiliations: Dept. of Computer Science & Engineering, University of Ioannina, Ioannina Greece; Dept. of Surveying & Geoinformatics, University of West Attica, Athens Greece
Conference: iclr 2024 (main track)
Keywords: Bayesian Deep Learning;Implicit neural representations;Probabilistic machine learning;Hypernetworks
Decision: Poster
Title: MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning
Authors: Haozhe Zhao, Zefan Cai, Shuzheng Si, Xiaojian Ma, Kaikai An, Liang Chen, Zixuan Liu, Sheng Wang, Wenjuan Han, Baobao Chang
Conference: iclr 2024 (main track)
Keywords: multi-modal in-context learning; multi-modal instruction tuning; vision-language model
Decision: Poster
Title: Multiscale Positive-Unlabeled Detection of AI-Generated Texts
Authors: Yuchuan Tian, Hanting Chen, Xutao Wang, Zheyuan Bai, QINGHUA ZHANG, Ruifeng Li, Chao Xu, Yunhe Wang
Affiliations: Huawei Noah’s Ark Lab; Huawei Central Software Institute; National Key Lab of General AI, School of Intelligence Science and Technology, Peking University; Huawei Group Finance
Conference: iclr 2024 (main track)
Keywords: Large Language Models;AI-Generated Texts;Positive-Unlabeled Learning
Decision: Spotlight
Title: PandaLM: An Automatic Evaluation Benchmark for LLM Instruction Tuning Optimization
Authors: Yidong Wang, Zhuohao Yu, Zhengran Zeng, Linyi Yang, Wenjin Yao, Cunxiang Wang, Hao Chen, Chaoya Jiang, Rui Xie, Jindong Wang, Xing Xie, Wei Ye, Shikun Zhang, Yue Zhang
Affiliations: Microsoft Research Asia; Westlake University; Peking University
Conference: iclr 2024 (main track)
Keywords: LLM evaluation
Decision: Poster
Title: TEDDY: Trimming Edges with Degree-based Discrimination Strategy
Authors: Hyunjin Seo, Jihun Yun, Eunho Yang
Affiliations: Korea Advanced Institute of Science and Technology (KAIST), AITRICS; Korea Advanced Institute of Science and Technology (KAIST)
Conference: iclr 2024 (main track)
Keywords: Graph Lottery Tickets; Graph Compression; Graph Sparsification; Graph Neural Networks
Decision: Poster
Title: Learning Adaptive Multiresolution Transforms via Meta-Framelet-based Graph Convolutional Network
Authors: Tianze Luo, Zhanfeng Mo, Sinno Pan
Affiliations: Nanyang Technological University, Singapore; The Chinese University of Hong Kong; Nanyang Technological University, Singapore
Conference: iclr 2024 (main track)
Keywords: Graph neural networks;graph multiresolution analysis
Decision: Poster
Title: ControlVideo: Training-free Controllable Text-to-video Generation
Authors: Yabo Zhang, Yuxiang Wei, Dongsheng jiang, XIAOPENG ZHANG, Wangmeng Zuo, Qi Tian
Affiliations: Harbin Institute of Technology; Huawei Cloud
Conference: iclr 2024 (main track)
Keywords: Diffusion models;video generation
Decision: Poster
Title: Certified Adversarial Robustness for Rate Encoded Spiking Neural Networks
Authors: Bhaskar Mukhoty, Hilal AlQuabeh, Giulia De Masi, Huan Xiong, Bin Gu
Affiliations: School of Artificial Intelligence, Jilin University, China; ARRC, Technology Innovation Institute, UAE; Harbin Institute of Technology, China; Mohamed bin Zayed University of Artificial Intelligence, UAE
Conference: iclr 2024 (main track)
Keywords: Spiking Neural Networks;Randomized Smoothing;Adversarial Learning;Certified Robustness
Decision: Poster
Title: Structured Video-Language Modeling with Temporal Grouping and Spatial Grounding
Authors: Yuanhao Xiong, Long Zhao, Boqing Gong, Ming-Hsuan Yang, Florian Schroff, Ting Liu, Cho-Jui Hsieh, Liangzhe Yuan
Affiliations: Google; Google Research
Conference: iclr 2024 (main track)
Keywords: multi-modal learning;video and language
Decision: Poster
Title: Contextual Bandits with Online Neural Regression
Authors: Rohan Deb, Yikun Ban, Shiliang Zuo, Jingrui He, Arindam Banerjee
Affiliations: University of Illinois, Urbana-Champaign
Conference: iclr 2024 (main track)
Keywords: Neural Bandits;Contextual Bandits;Regret Bounds;Deep Learning;Online Regression
Decision: Poster
Title: Towards Robust Offline Reinforcement Learning under Diverse Data Corruption
Authors: Rui Yang, Han Zhong, Jiawei Xu, Amy Zhang, Chongjie Zhang, Lei Han, Tong Zhang
Affiliations: CUHK (SZ); Washington University (St. Louis); Tencent Robotics X; University of Texas at Austin; Peking University; HKUST
Conference: iclr 2024 (main track)
Keywords: Offline RL;robust RL;data corruption;training-time attack
Decision: Spotlight
Title: Some Fundamental Aspects about Lipschitz Continuity of Neural Networks
Authors: Grigory Khromov, Sidak Pal Singh
Affiliations: Department of Computer Science, ETH Zürich; Department of Computer Science, ETH Zürich and Max Planck ETH Center for Learning Systems
Conference: iclr 2024 (main track)
Keywords: Lipschitz continuity;Double Descent;Label Noise;Generalization
Decision: Poster
Title: Jointly Training Large Autoregressive Multimodal Models
Authors: Emanuele Aiello, Lili Yu, Yixin Nie, Armen Aghajanyan, Barlas Oguz
Affiliations: †Politecnico di Torino,♢Meta AI; ♢Meta AI
Conference: iclr 2024 (main track)
Keywords: Large Multimodal Models; Joint Training; Interleaved Image-Text Generation; Autoregressive Models
Decision: Poster
Title: Time-Efficient Reinforcement Learning with Stochastic Stateful Policies
Authors: Firas Al-Hafez, Guoping Zhao, Jan Peters, Davide Tateo
Affiliations: Intelligent Autonomous Systems, TU Darmstadt, Germany; German Research Center for AI (DFKI), Centre for Cognitive Science, Hessian.AI, TU Darmstadt, Germany; Locomotion Laboratory, TU Darmstadt, Germany
Conference: iclr 2024 (main track)
Keywords: reinforcement learning;recurrent neural networks;stateful policies;backpropagation through time;imitation learning
Decision: Poster
Title: Linear Log-Normal Attention with Unbiased Concentration
Authors: Yury Nahshan, Joseph Kampeas, Emir Haleva
Affiliations: Distributed and Parallel Software Lab, Huawei Technologies
Conference: iclr 2024 (main track)
Keywords: Neural Networks;Transformers;Self-Attention;Linear Attention;Scalable Transformers;Efficient Attention;Attention with Linear Complexity;Linearized Attention;Self-Attention Analysis
Decision: Poster
Title: Goodhart's Law in Reinforcement Learning
Authors: Jacek Karwowski, Oliver Hayman, Xingjian Bai, Klaus Kiendlhofer, Charlie Griffin, Joar Skalse
Affiliations: University of Oxford, Future of Humanity Institute; Independent; University of Oxford
Conference: iclr 2024 (main track)
Keywords: reinforcement learning;goodhart's law;misspecification;reward learning
Decision: Poster
Title: Pose Modulated Avatars from Video
Authors: Chunjin Song, Bastian Wandt, Helge Rhodin
Affiliations: Bielefeld University; Department of Electrical Engineer, Linkoping University; Department of Computer Science, University of British Columbia
Conference: iclr 2024 (main track)
Keywords: NeRF;Neural Rendering;Dynamic Avatars;Frequency Modulation
Decision: Poster
Title: Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances
Authors: Mikhail Khodak, Edmond Chow, Nina Balcan, Ameet Talwalkar
Affiliations: Georgia Tech.; CMU
Conference: iclr 2024 (main track)
Keywords: scientific computing;data-driven algorithm design;online learning;multi-armed bandits;contextual bandits;numerical analysis;learning-augmented algorithms;algorithms with predictions
Decision: Spotlight
Title: Prompt Risk Control: A Rigorous Framework for Responsible Deployment of Large Language Models
Authors: Thomas Zollo, Todd Morrill, Zhun Deng, Jake Snell, Toniann Pitassi, Richard Zemel
Affiliations: Princeton University; Columbia University
Conference: iclr 2024 (main track)
Keywords: distribution-free uncertainty quantification;large language models;responsible AI
Decision: Poster
Title: Scale-Adaptive Diffusion Model for Complex Sketch Synthesis
Authors: Jijin Hu, Ke Li, Yonggang Qi, Yi-Zhe Song
Affiliations: Beijing University of Posts and Telecommunications, CN; SketchX, CVSSP, University of Surrey, UK
Conference: iclr 2024 (main track)
Keywords: Generative model;Classifier-based Diffusion Model;Sketch
Decision: Poster
Title: NeurRev: Train Better Sparse Neural Network Practically via Neuron Revitalization
Authors: Gen Li, Lu Yin, Jie Ji, Wei Niu, Minghai Qin, Bin Ren, Linke Guo, Shiwei Liu, Xiaolong Ma
Affiliations: University of Oxford; William & Mary; University of Georgia; Clemson University; Eindhoven University of Technology
Conference: iclr 2024 (main track)
Keywords: Dynamic Sparse Training; Neuron Revitalization
Decision: Poster
Title: In-Context Learning Dynamics with Random Binary Sequences
Authors: Eric Bigelow, Ekdeep Singh Lubana, Robert Dick, Hidenori Tanaka, Tomer Ullman
Affiliations: Center for Brain Science, Harvard University, Cambridge, MA, USA; EECS Department, University of Michigan, Ann Arbor, MI, USA; Psychology Department, Harvard University, Cambridge, MA, USA; Center for Brain Science, Harvard University, Cambridge, MA, USA; EECS Department, University of Michigan, Ann Arbor, MI, USA; Center for Brain Science, Harvard University, Cambridge, MA, USA; Physics & Informatics Laboratories, NTT Research, Inc., Sunnyvale, CA, USA
Conference: iclr 2024 (main track)
Keywords: In-Context Learning;Large Language Models;Interpretability;Computational Cognitive Science
Decision: Poster
Title: Compressed Context Memory for Online Language Model Interaction
Authors: Jang-Hyun Kim, Junyoung Yeom, Sangdoo Yun, Hyun Oh Song
Affiliations: Seoul National University, Artificial Intelligence Institute (AIIS); NAVER AI Lab
Conference: iclr 2024 (main track)
Keywords: context compression;efficient inference;natural language processing;transformer
Decision: Poster
Title: Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models
Authors: Marien Renaud, Jiaming Liu, Valentin De Bortoli, Andres Almansa, Ulugbek Kamilov
Affiliations: CNRS, Université Paris Cité, Paris, 75006, FRANCE; ENS, CNRS, PSL University, Paris, 75005, FRANCE; Washington University in St. Louis, St. Louis, MO 63130, USA
Conference: iclr 2024 (main track)
Keywords: Inverse problems;plug-and-play priors;posterior sampling;unadjusted Langevin algorithm
Decision: Poster
Title: DreamClean: Restoring Clean Image Using Deep Diffusion Prior
Authors: Jie Xiao, Ruili Feng, Zhiheng Liu, Zhantao Yang, Han Zhang, Yurui Zhu, Xueyang Fu, Kai Zhu, Yu Liu, Zheng-Jun Zha
Affiliations: University of Science and Technology of China; Alibaba Group; Shanghai Jiao Tong University
Conference: iclr 2024 (main track)
Keywords: Image Restoration;Diffusion Models;Image Prior;Blind Restoration;Super-Resolution;Image Denoising;Colorization;JPEG Artifacts Correction
Decision: Poster
Title: Enhancing Tail Performance in Extreme Classifiers by Label Variance Reduction
Authors: Anirudh Buvanesh, Rahul Chand, Jatin Prakash, Bhawna Paliwal, Mudit Dhawan, Neelabh Madan, Deepesh Hada, Vidit Jain, Sonu Mehta, Yashoteja Prabhu, Manish Gupta, Ramachandran Ramjee, Manik Varma
Affiliations: Microsoft
Conference: iclr 2024 (main track)
Keywords: Extreme Classification;Extreme Multi-Label Learning
Decision: Poster
Title: Two-timescale Extragradient for Finding Local Minimax Points
Authors: Jiseok Chae, Kyuwon Kim, Donghwan Kim
Affiliations: Department of Mathematical Sciences, KAIST
Conference: iclr 2024 (main track)
Keywords: Minimax optimization;Nonconvex-nonconcave optimization;Extragradient method;Dynamical systems
Decision: Poster
Title: Personalize Segment Anything Model with One Shot
Authors: Renrui Zhang, Zhengkai Jiang, Ziyu Guo, Shilin Yan, Junting Pan, Hao Dong, Yu Qiao, Gao Peng, Hongsheng Li
Affiliations: 1CUHK MMLab, 2Shanghai Artificial Intelligence Laboratory; 1CUHK MMLab; 1CUHK MMLab, 5CPII of InnoHK; CFCS, School of CS, Peking University; Institute of Automation, Chinese Academy of Sciences; 2Shanghai Artificial Intelligence Laboratory
Conference: iclr 2024 (main track)
Keywords: Segment Anything Model (SAM);one-shot learning;text-to-image generation
Decision: Poster
Title: Conserve-Update-Revise to Cure Generalization and Robustness Trade-off in Adversarial Training
Authors: Shruthi Gowda, Bahram Yoosefizonooz, Elahe Arani
Affiliations: NavInfo Europe, Eindhoven University of Technology; Eindhoven University of Technology, Wayve; Eindhoven University of Technology, TomTom
Conference: iclr 2024 (main track)
Keywords: Adversarial training;Adversarial Robustness;Generalization;Robustness;Robust overfitting;Selective training
Decision: Poster
Title: UniTabE: A Universal Pretraining Protocol for Tabular Foundation Model in Data Science
Authors: Yazheng Yang, Yuqi Wang, Guang Liu, Ledell Wu, Qi Liu
Affiliations: The University of Hong Kong; Beijing Academy of Artificial Intelligence; Creatify AI
Conference: iclr 2024 (main track)
Keywords: Pre-training Tabular Encoder;Pre-training;Heterogeneous Tabular Data;Classification and Regression;Deep Learning
Decision: Poster