hunoutl/paperlists huggingface dataset:
Title: Inner Classifier-Free Guidance and Its Taylor Expansion for Diffusion Models
Authors: Shikun Sun, Longhui Wei, Zhicai Wang, Zixuan Wang, Junliang Xing, Jia Jia, Qi Tian
Affiliations: Tsinghua University, BNRist; University of Science and Technology of China; Huawei Inc.
Conference: iclr 2024 (main track)
Keywords: diffusion models;classifier-free guidance
Decision: Poster
Title: Q-Bench: A Benchmark for General-Purpose Foundation Models on Low-level Vision
Authors: Haoning Wu, Zicheng Zhang, Erli Zhang, Chaofeng Chen, Liang Liao, Annan Wang, Chunyi Li, Wenxiu Sun, Qiong Yan, Guangtao Zhai, Weisi Lin
Conference: iclr 2024 (main track)
Keywords: Benchmark;Vision-Language;Large Language Models;Low-level Vision;Image Quality Assessment
Decision: Spotlight
Title: MOFDiff: Coarse-grained Diffusion for Metal-Organic Framework Design
Authors: Xiang Fu, Tian Xie, Andrew Rosen, Tommi Jaakkola, Jake Smith
Affiliations: Microsoft Research AI4Science; MIT CSAIL; Department of Materials Science and Engineering, UC Berkeley; Materials Science Division, Lawrence Berkeley National Laboratory
Conference: iclr 2024 (main track)
Keywords: Materials design;diffusion model;metal-organic framework;carbon capture;generative model;AI for Science
Decision: Poster
Title: Revisiting Plasticity in Visual Reinforcement Learning: Data, Modules and Training Stages
Authors: Guozheng Ma, Lu Li, Sen Zhang, Zixuan Liu, Zhen Wang, Yixin Chen, Li Shen, Xueqian Wang, Dacheng Tao
Affiliations: JD Explore Academy; The University of Sydney; Nanyang Technological University, Singapore; Tsinghua University; Washington University in St. Louis
Conference: iclr 2024 (main track)
Keywords: Plasticity;Visual Reinforcement Learning;Deep Reinforcement Learning;Sample Efficiency
Decision: Poster
Title: NEFTune: Noisy Embeddings Improve Instruction Finetuning
Authors: Neel Jain, Ping-yeh Chiang, Yuxin Wen, John Kirchenbauer, Hong-Min Chu, Gowthami Somepalli, Brian Bartoldson, Bhavya Kailkhura, Avi Schwarzschild, Aniruddha Saha, Micah Goldblum, Jonas Geiping, Tom Goldstein
Affiliations: New York University; Lawrence Livermore National Laboratory; University of Maryland
Conference: iclr 2024 (main track)
Keywords: Instruction Finetuning
Decision: Poster
Title: LiDAR-PTQ: Post-Training Quantization for Point Cloud 3D Object Detection
Authors: Sifan Zhou, Liang Li, Xinyu Zhang, Bo Zhang, Shipeng Bai, Miao Sun, Ziyu Zhao, Xiaobo Lu, Xiangxiang Chu
Affiliations: Nanyang Technological University; Meituan Inc; Zhejiang University; Southeast University
Conference: iclr 2024 (main track)
Keywords: Quantization;3D Object Detection;Autonomous Driving
Decision: Poster
Title: TopoMLP: A Simple yet Strong Pipeline for Driving Topology Reasoning
Authors: Dongming Wu, Jiahao Chang, Fan Jia, Yingfei Liu, Tiancai Wang, Jianbing Shen
Affiliations: University of Science and Technology of China; Beijing Institute of Technology; MEGVII Technology; SKL-IOTSC, University of Macau
Conference: iclr 2024 (main track)
Keywords: Autonomous Driving;Driving Topology Understanding
Decision: Poster
Title: Variance Reduced Halpern Iteration for Finite-Sum Monotone Inclusions
Authors: Xufeng Cai, Ahmet Alacaoglu, Jelena Diakonikolas
Affiliations: Wisconsin Institute for Discovery, University of Wisconsin–Madison; Department of Computer Sciences, University of Wisconsin–Madison
Conference: iclr 2024 (main track)
Keywords: finite-sum problems;monotone inclusion;operator norm residual;stochastic Halpern iteration;last iterate convergence;variance reduction;min-max optimization
Decision: Poster
Title: UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models
Authors: Hyunju Kang, Geonhee Han, Hogun Park
Affiliations: Department of Artificial Intelligence, Sungkyunkwan University, Suwon, Republic of Korea
Conference: iclr 2024 (main track)
Keywords: XAI;Unsupervised node representation learning;Counterfactual Explanations
Decision: Poster
Title: Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors
Authors: Guocheng Qian, Jinjie Mai, Abdullah Hamdi, Jian Ren, Aliaksandr Siarohin, Bing Li, Hsin-Ying Lee, Ivan Skorokhodov, Peter Wonka, Sergey Tulyakov, Bernard Ghanem
Affiliations: King Abdullah University of Science and Technology (KAUST); Visual Geometry Group, University of Oxford; Snap Inc.
Conference: iclr 2024 (main track)
Keywords: Neural Radiance Fields;Shape from Image;Generative 3D models
Decision: Poster
Title: Sparse Spiking Neural Network: Exploiting Heterogeneity in Timescales for Pruning Recurrent SNN
Authors: Biswadeep Chakraborty, Beomseok Kang, Harshit Kumar, Saibal Mukhopadhyay
Affiliations: Department of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA
Conference: iclr 2024 (main track)
Keywords: spiking neural network;SNN;network pruning;stability;neuromorphic;leaky integrate and fire;STDP;sparsification;task-agnostic pruning;timescale optimization
Decision: Poster
Title: Retrieval-Guided Reinforcement Learning for Boolean Circuit Minimization
Authors: Animesh Basak Chowdhury, Marco Romanelli, Benjamin Tan, Ramesh Karri, Siddharth Garg
Affiliations: New York University; University of Calgary
Conference: iclr 2024 (main track)
Keywords: Electronics Design Automation (EDA);Logic Synthesis;Reinforcement Learning;Hardware design;Circuits
Decision: Poster
Title: Distributional Preference Learning: Understanding and Accounting for Hidden Context in RLHF
Authors: Anand Siththaranjan, Cassidy Laidlaw, Dylan Hadfield-Menell
Affiliations: Massachusetts Institute of Technology; University of California, Berkeley
Conference: iclr 2024 (main track)
Keywords: Preference Learning;Reinforcement Learning from Human Feedback;Social Choice Theory
Decision: Poster
Title: Linear attention is (maybe) all you need (to understand Transformer optimization)
Authors: Kwangjun Ahn, Xiang Cheng, Minhak Song, Chulhee Yun, Suvrit Sra, Ali Jadbabaie
Affiliations: MIT EECS/LIDS; MIT LIDS; MIT CEE/LIDS; KAIST AI; KAIST ISysE/Math
Conference: iclr 2024 (main track)
Keywords: Transformer;optimization;adam;clipping;heavy-tailed noise;directional smoothness
Decision: Poster
Title: LipSim: A Provably Robust Perceptual Similarity Metric
Authors: Sara Ghazanfari, Alexandre Araujo, Prashanth Krishnamurthy, Farshad Khorrami, Siddharth Garg
Affiliations: Department of Electronic and Computer Engineering, New York University
Conference: iclr 2024 (main track)
Keywords: Perceptual similarity metric;certified defense;deep learning
Decision: Poster
Title: SALMONN: Towards Generic Hearing Abilities for Large Language Models
Authors: Changli Tang, Wenyi Yu, Guangzhi Sun, Xianzhao Chen, Tian Tan, Wei Li, Lu Lu, Zejun MA, Chao Zhang
Affiliations: Department of Electronic Engineering, Tsinghua University; ByteDance
Conference: iclr 2024 (main track)
Keywords: Multimodal large language models;speech and audio processing;music processing
Decision: Poster
Title: Tensor Programs VI: Feature Learning in Infinite Depth Neural Networks
Authors: Greg Yang, Dingli Yu, Chen Zhu, Soufiane Hayou
Affiliations: Princeton Language and Intelligence, Princeton University; Simons Institute, UC Berkeley; Nvidia
Conference: iclr 2024 (main track)
Keywords: Tensor Programs;mup;deep learning;optimization;optimal hyperparameter transfer
Decision: Poster
Title: Enhancing Transferable Adversarial Attacks on Vision Transformers through Gradient Normalization Scaling and High-Frequency Adaptation
Authors: Zhiyu Zhu, Xinyi Wang, Zhibo Jin, Jiayu Zhang, Huaming Chen
Affiliations: SuZhouYierqi; University of Sydney; Universiti Malaya
Conference: iclr 2024 (main track)
Keywords: Adversarial attack;transferability;Vit;transformer
Decision: Poster
Title: Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders
Authors: Nishant Yadav, Nicholas Monath, Manzil Zaheer, Rob Fergus, Andrew McCallum
Affiliations: University of Massachusetts Amherst; Google DeepMind
Conference: iclr 2024 (main track)
Keywords: cross-encoder;kNN;retrieval;nearest-neighbor search
Decision: Poster
Title: Denoising Diffusion via Image-Based Rendering
Authors: Titas Anciukevičius, Fabian Manhardt, Federico Tombari, Paul Henderson
Affiliations: Google; University of Glasgow; Technical University of Munich; University of Edinburgh
Conference: iclr 2024 (main track)
Keywords: Neural Scene Representations;Generative Models;Denoising Diffusion;3D Reconstruction
Decision: Poster
Title: Backdoor Secrets Unveiled: Identifying Backdoor Data with Optimized Scaled Prediction Consistency
Authors: Soumyadeep Pal, Yuguang Yao, Ren Wang, Bingquan Shen, Sijia Liu
Affiliations: Illinois Institute of Technology; MIT-IBM Watson AI Lab, IBM Research; University of Alberta; DSO National Laboratories; Michigan State University
Conference: iclr 2024 (main track)
Keywords: Backdoor Detection;Backdoor Attack;Data Poisoning;AI Security;Deep learning
Decision: Poster
Title: Bespoke Solvers for Generative Flow Models
Authors: Neta Shaul, Juan Perez, Ricky T. Q. Chen, Ali Thabet, Albert Pumarola, Yaron Lipman
Affiliations: GenAI, Meta; Weizmann Institute of Science; FAIR, Meta
Conference: iclr 2024 (main track)
Keywords: generative models;flow matching;diffusion models;normalizing flows;ode solver;fast sampling;distillation
Decision: Spotlight
Title: MAMBA: an Effective World Model Approach for Meta-Reinforcement Learning
Authors: Zohar Rimon, Tom Jurgenson, Orr Krupnik, Gilad Adler, Aviv Tamar
Affiliations: Ford Research Center Israel; Technion - Israel Institute of Technology
Conference: iclr 2024 (main track)
Keywords: Meta Reinforcement Learning;World Models;Model Based Reinforcement Learning
Decision: Poster
Title: Network Memory Footprint Compression Through Jointly Learnable Codebooks and Mappings
Authors: Edouard YVINEC, Arnaud Dapogny, Kevin Bailly
Affiliations: Datakalab2, 114 boulevard Malesherbes, 75017 Paris, France; Sorbonne Universit ´e1, CNRS, ISIR, f-75005, 4 Place Jussieu 75005 Paris, France
Conference: iclr 2024 (main track)
Keywords: quantization;codebooks;hashlists;compression;efficient inference;deep learning
Decision: Poster
Title: Spike-driven Transformer V2: Meta Spiking Neural Network Architecture Inspiring the Design of Next-generation Neuromorphic Chips
Authors: Man Yao, Jiakui Hu, Tianxiang Hu, Yifan Xu, Zhaokun Zhou, Yonghong Tian, Bo XU, Guoqi Li
Affiliations: Peking University, Beijing, China; Key Laboratory of Brain Cognition and Brain-inspired Intelligence Technology, Beijing, China; Peng Cheng Laboratory, Shenzhen, Guangzhou, China; Institute of Automation, Chinese Academy of Sciences, Beijing, China
Conference: iclr 2024 (main track)
Keywords: Spiking neural networks;Spiking transformer;Transformer-based SNNs;Neuromorphic chips;Spike-driven self-attention
Decision: Poster
Title: Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks
Authors: Lukas Struppek, Dominik Hintersdorf, Kristian Kersting
Affiliations: Technical University of Darmstadt, Centre for Cognitive Science of TU Darmstadt, Hessian Center for AI (hessian.AI), German Center for Artificial Intelligence; Technical University of Darmstadt, German Center for Artificial Intelligence
Conference: iclr 2024 (main track)
Keywords: model inversion attacks;privacy;label smoothing;defense
Decision: Poster
Title: Beyond IID weights: sparse and low-rank deep Neural Networks are also Gaussian Processes
Authors: Thiziri Nait Saada, Alireza Naderi, Jared Tanner
Affiliations: Mathematical Institute, University of Oxford
Conference: iclr 2024 (main track)
Keywords: Deep Neural Networks;Gaussian processes;Neural Networks initialisation;Edge of chaos;Large width limit;Mean-Field
Decision: Poster
Title: DreamTime: An Improved Optimization Strategy for Diffusion-Guided 3D Generation
Authors: Yukun Huang, Jianan Wang, Yukai Shi, Boshi Tang, Xianbiao Qi, Lei Zhang
Affiliations: International Digital Economy Academy (IDEA) and The University of Hong Kong; International Digital Economy Academy (IDEA)
Conference: iclr 2024 (main track)
Keywords: Score Distillation;3D Content Creation;Diffusion Model
Decision: Poster
Title: ReSimAD: Zero-Shot 3D Domain Transfer for Autonomous Driving with Source Reconstruction and Target Simulation
Authors: Bo Zhang, Xinyu Cai, Jiakang Yuan, Donglin Yang, Jianfei Guo, Xiangchao Yan, Renqiu Xia, Botian Shi, Min Dou, Tao Chen, Si Liu, Junchi Yan, Yu Qiao
Conference: iclr 2024 (main track)
Keywords: Autonomous Driving;3D Domain Transfer;Zero-shot 3D Detection
Decision: Poster
Title: Sample-Efficient Learning of POMDPs with Multiple Observations In Hindsight
Authors: Jiacheng Guo, Minshuo Chen, Huan Wang, Caiming Xiong, Mengdi Wang, Yu Bai
Affiliations: Princeton University; Salesforce Research
Conference: iclr 2024 (main track)
Keywords: reinforcement learning theory;POMDPs;partially observable reinforcement learning
Decision: Poster
Title: Simple Minimax Optimal Byzantine Robust Algorithm for Nonconvex Objectives with Uniform Gradient Heterogeneity
Authors: Tomoya Murata, Kenta Niwa, Takumi Fukami, Iifan Tyou
Affiliations: NTT Communication Science Laboratories, NTT Corporation; NTT DATA Mathematical Systems Inc.; NTT Social Information Laboratories, NTT Corporation
Conference: iclr 2024 (main track)
Keywords: Byzantine Robustness;Nonconvex Optimization;Federated Learning
Decision: Poster
Title: Towards Few-Shot Adaptation of Foundation Models via Multitask Finetuning
Authors: Zhuoyan Xu, Zhenmei Shi, Junyi Wei, Fangzhou Mu, Yin Li, Yingyu Liang
Affiliations: University of Wisconsin-Madison
Conference: iclr 2024 (main track)
Keywords: Foundation model;Multitask finetuning;Few-Shot learning
Decision: Poster
Title: InstaFlow: One Step is Enough for High-Quality Diffusion-Based Text-to-Image Generation
Authors: Xingchao Liu, Xiwen Zhang, Jianzhu Ma, Jian Peng, Qiang Liu
Affiliations: Department of Computer Science, University of Texas at Austin; Helixon Research
Conference: iclr 2024 (main track)
Keywords: Diffusion Models;Generative Models;Acceleration
Decision: Poster
Title: Unsupervised Pretraining for Fact Verification by Language Model Distillation
Authors: Adrian Bazaga, Pietro Lio, Gos Micklem
Affiliations: University of Cambridge
Conference: iclr 2024 (main track)
Keywords: Unsupervised Learning;Self-supervised Learning;Deep Features;Contrastive Learning;Large Language Models;Knowledge Distillation;Multimodality;Fact Verification
Decision: Poster
Title: Dynamic Sparse No Training: Training-Free Fine-tuning for Sparse LLMs
Authors: Yuxin Zhang, Lirui Zhao, Mingbao Lin, Sun Yunyun, Yiwu Yao, Xingjia Han, Jared Tanner, Shiwei Liu, Rongrong Ji
Affiliations: University of Oxford; University of Texas at Austin; Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Xiamen University; Tencent Youtu Lab; Huawei Technologies; Institute of Artificial Intelligence, Xiamen University
Conference: iclr 2024 (main track)
Keywords: Large Language Models;Network Sparsity
Decision: Poster
Title: Self-Alignment with Instruction Backtranslation
Authors: Xian Li, Ping Yu, Chunting Zhou, Timo Schick, Omer Levy, Luke Zettlemoyer, Jason E Weston, Mike Lewis
Affiliations: Meta
Conference: iclr 2024 (main track)
Keywords: large language models;self-supervised learning;data augmentation
Decision: Oral
Title: Theoretical Analysis of Robust Overfitting for Wide DNNs: An NTK Approach
Authors: Shaopeng Fu, Di Wang
Affiliations: Provable Responsible AI and Data Analytics (PRADA) Lab, King Abdullah University of Science and Technology, Saudi Arabia
Conference: iclr 2024 (main track)
Keywords: NTK;neural tangent kernels;adversarial training;robust overfitting
Decision: Poster
Title: ConjNorm: Tractable Density Estimation for Out-of-Distribution Detection
Authors: Bo Peng, Yadan Luo, Yonggang Zhang, Yixuan Li, Zhen Fang
Affiliations: The University of Queensland, Australia; University of Wisconsin-Madison, USA; University of Technology Sydney, Australia; Hong Kong Baptist University, Hong Kong
Conference: iclr 2024 (main track)
Keywords: Density-based OOD;Importance Sampling;Tractable density estimation
Decision: Poster
Title: Unified Human-Scene Interaction via Prompted Chain-of-Contacts
Authors: Zeqi Xiao, Tai Wang, Jingbo Wang, Jinkun Cao, Wenwei Zhang, Bo DAI, Dahua Lin, Jiangmiao Pang
Affiliations: Shanghai AI Laboratory, S-Lab, NTU; Shanghai AI Laboratory; Shanghai AI Laboratory, CMU
Conference: iclr 2024 (main track)
Keywords: Human-Scene Interaction;Chain-of-Contacts;Unified;LLM
Decision: Spotlight
Title: Mastering Memory Tasks with World Models
Authors: Mohammad Reza Samsami, Artem Zholus, Janarthanan Rajendran, Sarath Chandar
Affiliations: Mila – Quebec AI Institute, Polytechnique Montr´eal; Mila – Quebec AI Institute, Universit´e de Montr´eal; Mila – Quebec AI Institute, Polytechnique Montr´eal, CIFAR AI Chair
Conference: iclr 2024 (main track)
Keywords: model-based reinforcement learning;state space models;memory in reinforcement learning
Decision: Oral
Title: MUFFIN: Curating Multi-Faceted Instructions for Improving Instruction Following
Authors: Renze Lou, Kai Zhang, Jian Xie, Yuxuan Sun, Jihyun Ahn, Hanzi XU, Yu Su, Wenpeng Yin
Conference: iclr 2024 (main track)
Keywords: Instruction Tuning;Large Language Models;Automatic Data Generation
Decision: Poster
Title: RA-DIT: Retrieval-Augmented Dual Instruction Tuning
Authors: Xi Lin, Xilun Chen, Mingda Chen, Weijia Shi, Maria Lomeli, Richard James, Pedro Rodriguez, Jacob Kahn, Gergely Szilvasy, Mike Lewis, Luke Zettlemoyer, Scott Yih
Affiliations: FAIR at Meta
Conference: iclr 2024 (main track)
Keywords: retrieval-augmented language model;large language model;knowledge intensive NLP
Decision: Poster
Title: PromptAgent: Strategic Planning with Language Models Enables Expert-level Prompt Optimization
Authors: Xinyuan Wang, Chenxi Li, Zhen Wang, Fan Bai, Haotian Luo, Jiayou Zhang, Nebojsa Jojic, Eric Xing, Zhiting Hu
Affiliations: UC San Diego; Georgia Institute of Technology; Carnegie Mellon University; Mohamed bin Zayed University of Artificial Intelligence; Microsoft Research
Conference: iclr 2024 (main track)
Keywords: Large Language Models;Expert-level Prompt Optimization;Strategic Planning
Decision: Poster
Title: RETSim: Resilient and Efficient Text Similarity
Authors: Marina Zhang, Owen Vallis, Aysegul Bumin, Tanay Vakharia, Elie Bursztein
Affiliations: University of Florida; Google
Conference: iclr 2024 (main track)
Keywords: text similarity;text embedding;metric learning;near-duplicate detection;dataset deduplication
Decision: Poster
Title: Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models
Authors: Zijun Wu, Yongkang Wu, Lili Mou
Affiliations: Canada CIFAR AI Chair; Huawei Poisson Lab; Dept. Computing Science & Alberta Machine Intelligence Institute (Amii), University of Alberta
Conference: iclr 2024 (main track)
Keywords: continuous prompt tuning;zero-shot prompt transfer;cross-model prompt transfer
Decision: Poster
Title: What does the Knowledge Neuron Thesis Have to do with Knowledge?
Authors: Jingcheng Niu, Andrew Liu, Zining Zhu, Gerald Penn
Affiliations: Stevens Institute of Technology, Vector Institute; University of Waterloo; University of Toronto, Vector Institute
Conference: iclr 2024 (main track)
Keywords: language model;knowledge neuron;model editing;formal and function competence;syntax;fact
Decision: Spotlight
Title: Lipsum-FT: Robust Fine-Tuning of Zero-Shot Models Using Random Text Guidance
Authors: Giung Nam, Byeongho Heo, Juho Lee
Affiliations: KAIST AI; AITRICS; NAVER AI Lab
Conference: iclr 2024 (main track)
Keywords: computer vision;vision-langauge model;transfer learning;fine-tuning;distribution shifts
Decision: Poster
Title: PerceptionCLIP: Visual Classification by Inferring and Conditioning on Contexts
Authors: Bang An, Sicheng Zhu, Michael-Andrei Panaitescu-Liess, Chaithanya Kumar Mummadi, Furong Huang
Affiliations: University of Maryland, College Park; Bosch Center for Artificial Intelligence
Conference: iclr 2024 (main track)
Keywords: vision-language model;CLIP;zero-shot;image classification;human perception;contexts;contextual attributes;spurious feature
Decision: Poster
Title: GOAt: Explaining Graph Neural Networks via Graph Output Attribution
Authors: Shengyao Lu, Keith G Mills, Jiao He, Bang Liu, Di Niu
Affiliations: DIRO, Université de Montréal & Mila; Kirin AI Algorithm & Solution, Huawei; Department of Electrical and Computer Engineering, University of Alberta
Conference: iclr 2024 (main track)
Keywords: Graph Neural Networks;Explainability;Interpretability;Local-level explanation;Instance-level explanation
Decision: Poster
Title: Towards Offline Opponent Modeling with In-context Learning
Authors: Yuheng Jing, Kai Li, Bingyun Liu, Yifan Zang, Haobo Fu, QIANG FU, Junliang Xing, Jian Cheng
Affiliations: Institute of Automation, Chinese Academy of Sciences; School of Artificial Intelligence, University of Chinese Academy of Sciences; Institute of Automation, Chinese Academy of Sciences; School of Future Technology, University of Chinese Academy of Sciences; School of Artificial Intelligence, University of Chinese Academy of Sciences; Tencent AI Lab; Tsinghua University
Conference: iclr 2024 (main track)
Keywords: Opponent Modeling;Offline;Transformer
Decision: Poster
Title: Unbalancedness in Neural Monge Maps Improves Unpaired Domain Translation
Authors: Luca Eyring, Dominik Klein, Théo Uscidda, Giovanni Palla, Niki Kilbertus, Zeynep Akata, Fabian Theis
Affiliations: Helmholtz Munich; Munich Center for Machine Learning (MCML); T¨ubingen AI Center; CREST-ENSAE; TU Munich
Conference: iclr 2024 (main track)
Keywords: optimal transport;domain translation;image translation;flow matching
Decision: Poster
Title: On the Over-Memorization During Natural, Robust and Catastrophic Overfitting
Authors: Runqi Lin, Chaojian Yu, Bo Han, Tongliang Liu
Affiliations: Hong Kong Baptist University; Sydney AI Centre, The University of Sydney
Conference: iclr 2024 (main track)
Keywords: overfitting;natural overfitting;robust overfitting;catastrophic overfitting
Decision: Poster
Title: sRGB Real Noise Modeling via Noise-Aware Sampling with Normalizing Flows
Authors: Dongjin Kim, Donggoo Jung, Sungyong Baik, Tae Hyun Kim
Affiliations: Dept. of Computer Science, Hanyang University; Dept. of Data Science, Hanyang University; Dept. of Artificial Intelligence, Hanyang University
Conference: iclr 2024 (main track)
Keywords: sRGB real noise modeling;Normalizing flow;Low-level vision
Decision: Poster
Title: Efficient and Scalable Graph Generation through Iterative Local Expansion
Authors: Andreas Bergmeister, Karolis Martinkus, Nathanaël Perraudin, Roger Wattenhofer
Affiliations: DISCO, ETH Zürich; ETH Zürich; Prescient Design; SDSC, ETH Zürich
Conference: iclr 2024 (main track)
Keywords: Graph Generation;Denoising Diffusion;Spectral Graph Theory
Decision: Poster
Title: MEND: Meta Demonstration Distillation for Efficient and Effective In-Context Learning
Authors: Yichuan Li, Xiyao Ma, Sixing Lu, Kyumin Lee, Xiaohu Liu, Chenlei Guo
Affiliations: Worcester Polytechnic Institute; Amazon Alexa AI
Conference: iclr 2024 (main track)
Keywords: in-context learning;language modeling;data distillation;knowledge distillation
Decision: Poster
Title: Function-space Parameterization of Neural Networks for Sequential Learning
Authors: Aidan Scannell, Riccardo Mereu, Paul Chang, Ella Tamir, Joni Pajarinen, Arno Solin
Affiliations: Aalto University, Espoo, Finland
Conference: iclr 2024 (main track)
Keywords: Neural networks;Bayesian deep learning;deep learning;Gaussian processes;Laplace approximation;sequential learning
Decision: Poster
Title: Vision Transformers Need Registers
Authors: Timothée Darcet, Maxime Oquab, Julien Mairal, Piotr Bojanowski
Affiliations: Univ. Grenoble Alpes, Inria, CNRS, Grenoble INP, LJK, 38000 Grenoble, France; FAIR, Meta
Conference: iclr 2024 (main track)
Keywords: representation;vision;transformer;register;SSL;CLIP;attention;attention map;interpretability;DINO;DINOv2
Decision: Oral