hunoutl/paperlists huggingface dataset:
Title: Assessing Uncertainty in Similarity Scoring: Performance & Fairness in Face Recognition
Authors: Jean-Rémy Conti, Stephan CLEMENCON
Affiliations: LTCI, Télécom Paris, Institut Polytechnique de Paris, Idemia; LTCI, Télécom Paris, Institut Polytechnique de Paris
Conference: iclr 2024 (main track)
Keywords: Uncertainty;Face;Recognition;Performance;ROC;Fairness;Bootstrap
Decision: Poster
Title: Predicting Emergent Abilities with Infinite Resolution Evaluation
Authors: Shengding Hu, Xin Liu, Xu Han, Xinrong Zhang, Chaoqun He, Weilin Zhao, Yankai Lin, Ning Ding, Zebin Ou, Guoyang Zeng, Zhiyuan Liu, Maosong Sun
Affiliations: Zhihu Inc.; Department of Computer Science and Technology, Tsinghua University; Modelbest Inc.; Beijing Language and Culture University; Renmin University of China
Conference: iclr 2024 (main track)
Keywords: Predictable Scaling; Scaling Law; Large Language Models; Pre-train;
Decision: Poster
Title: Demonstration-Regularized RL
Authors: Daniil Tiapkin, Denis Belomestny, Daniele Calandriello, Eric Moulines, Alexey Naumov, Pierre Perrault, Michal Valko, Pierre Ménard
Affiliations: ENS Lyon; Duisburg-Essen University; HSE University; Google DeepMind; CMAP, Ecole Polytechnique; IDEMIA
Conference: iclr 2024 (main track)
Keywords: reinforcement learning;regularization in reinforcement leaning;learning with demonstrations;reinforcemenet learning with human feedback
Decision: Poster
Title: Vision-Language Foundation Models as Effective Robot Imitators
Authors: Xinghang Li, Minghuan Liu, Hanbo Zhang, Cunjun Yu, Jie Xu, Hongtao Wu, Chilam Cheang, Ya Jing, Weinan Zhang, Huaping Liu, Hang Li, Tao Kong
Affiliations: National University of Singapore; ByteDance Research; Shanghai Jiao Tong University; Tsinghua University
Conference: iclr 2024 (main track)
Keywords: Large Visual Language Model;Robotics;Imitation Learning
Decision: Spotlight
Title: Can we get the best of both Binary Neural Networks and Spiking Neural Networks for Efficient Computer Vision?
Authors: Gourav Datta, Zeyu Liu, Peter Beerel
Affiliations: University of Southern California, Los Angeles, CA, USA
Conference: iclr 2024 (main track)
Keywords: BNN;Hoyer regularizer;gradient descent;FLOPs;object detection
Decision: Poster
Title: Efficient ConvBN Blocks for Transfer Learning and Beyond
Authors: Kaichao You, Guo Qin, Anchang Bao, Meng Cao, Ping Huang, Jiulong Shan, Mingsheng Long
Affiliations: Apple; School of Software, BNRist, Tsinghua University, China
Conference: iclr 2024 (main track)
Keywords: transfer learning;batch normalization;efficient training
Decision: Spotlight
Title: LightHGNN: Distilling Hypergraph Neural Networks into MLPs for 100x Faster Inference
Authors: Yifan Feng, Yihe Luo, Shihui Ying, Yue Gao
Affiliations: Department of Mathematics, School of Science, Shanghai University; School of Software, BNRist, THUIBCS, BLBCI, Tsinghua University
Conference: iclr 2024 (main track)
Keywords: Hypergraph;HGNN;Knowledge Distillation;MLPs;Reliale Learning
Decision: Poster
Title: Pathformer: Multi-scale Transformers with Adaptive Pathways for Time Series Forecasting
Authors: Peng Chen, Yingying ZHANG, Yunyao Cheng, Yang Shu, Yihang Wang, Qingsong Wen, Bin Yang, Chenjuan Guo
Conference: iclr 2024 (main track)
Keywords: Time series;Transformer;Multi-scale
Decision: Poster
Title: Bridging Vision and Language Spaces with Assignment Prediction
Authors: Jungin Park, Jiyoung Lee, Kwanghoon Sohn
Affiliations: Yonsei University; Yonsei University/Korea Institute of Science and Technology (KIST); NAVER AI Lab
Conference: iclr 2024 (main track)
Keywords: Multimodal learning;vision-language tasks;frozen LLMs;optimal transport;assignment prediction
Decision: Poster
Title: CLIP-MUSED: CLIP-Guided Multi-Subject Visual Neural Information Semantic Decoding
Authors: Qiongyi Zhou, Changde Du, Shengpei Wang, Huiguang He
Affiliations: Laboratory of Brain Atlas and Brain-Inspired Intelligence, State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences; University of Chinese Academy of Sciences; Laboratory of Brain Atlas and Brain-Inspired Intelligence, State Key Laboratory of Multimodal Artificial Intelligence Systems, Institute of Automation, Chinese Academy of Sciences
Conference: iclr 2024 (main track)
Keywords: Multi-subject visual neural decoding;representational similarity analysis;CLIP;transformer
Decision: Poster
Title: Grounding Multimodal Large Language Models to the World
Authors: Zhiliang Peng, Wenhui Wang, Li Dong, Yaru Hao, Shaohan Huang, Shuming Ma, Qixiang Ye, Furu Wei
Affiliations: University of Chinese Academy of Sciences; Microsoft Research
Conference: iclr 2024 (main track)
Keywords: large language model;multimodal large language model;grounding;referring
Decision: Poster
Title: Non-negative Contrastive Learning
Authors: Yifei Wang, Qi Zhang, Yaoyu Guo, Yisen Wang
Affiliations: National Key Lab of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University; Institute for Artificial Intelligence, Peking University; School of Mathematical Sciences, Peking University; National Key Lab of General Artificial Intelligence, School of Intelligence Science and Technology, Peking University
Conference: iclr 2024 (main track)
Keywords: Contrastive Learning;Representation Learning;Self-supervised Learning;Deep Learning;Disentanglement;Interpretability
Decision: Poster
Title: Improved Efficiency Based on Learned Saccade and Continuous Scene Reconstruction From Foveated Visual Sampling
Authors: Jiayang Liu, Yiming Bu, Daniel Tso, Qinru Qiu
Affiliations: Department of Electrical Engineering and Computer Science, Syracuse University; SUNY Upstate Medical University
Conference: iclr 2024 (main track)
Keywords: Biological inspired high performance energy efficient vision system;data efficient training;energy saving sensoring;learned saccade;reinforcement learning;foveated visual sampling;continuous scene reconstruction.
Decision: Spotlight
Title: Node2ket: Efficient High-Dimensional Network Embedding in Quantum Hilbert Space
Authors: Hao Xiong, Yehui Tang, Yunlin He, Wei Tan, Junchi Yan
Affiliations: Department of Computer Science and Engineering, Shanghai Jiao Tong University
Conference: iclr 2024 (main track)
Keywords: high-dimensional network embedding;quantum mechanics
Decision: Poster
Title: Delphic Offline Reinforcement Learning under Nonidentifiable Hidden Confounding
Authors: Alizée Pace, Hugo Yèche, Bernhard Schoelkopf, Gunnar Ratsch, Guy Tennenholtz
Affiliations: Department of Computer Science, ETH Zürich; Max Planck Institute for Intelligent Systems, Tübingen; ETH AI Center, Department of Computer Science, ETH Zürich; Google Research
Conference: iclr 2024 (main track)
Keywords: offline reinforcement learning;hidden confounding;uncertainty quantification;causal inference;healthcare;vasopressor and fluid administration
Decision: Poster
Title: SRL: Scaling Distributed Reinforcement Learning to Over Ten Thousand Cores
Authors: Zhiyu Mei, Wei Fu, Jiaxuan Gao, Guangju Wang, Huanchen Zhang, Yi Wu
Affiliations: IIIS, Tsinghua University/Shanghai Qi Zhi Institute; IIIS, Tsinghua University; OpenPsi Inc.
Conference: iclr 2024 (main track)
Keywords: Reinforcement Learning;Distributed Systems;Large Scale Training
Decision: Poster
Title: The Cost of Scaling Down Large Language Models: Reducing Model Size Affects Memory before In-context Learning
Authors: Tian Jin, Nolan Clement, Xin Dong, Vaishnavh Nagarajan, Michael Carbin, Jonathan Ragan-Kelley, Gintare Karolina Dziugaite
Affiliations: MIT; Harvard University; Google Research; MIT CSAIL; Google DeepMind
Conference: iclr 2024 (main track)
Keywords: large language model;scaling;in-context learning;pruning
Decision: Poster
Title: Structuring Representation Geometry with Rotationally Equivariant Contrastive Learning
Authors: Sharut Gupta, Joshua Robinson, Derek Lim, Soledad Villar, Stefanie Jegelka
Affiliations: MIT CSAIL; Johns Hopkins University
Conference: iclr 2024 (main track)
Keywords: Self supervised learning;Equivariance;Contrastive learning
Decision: Poster
Title: Sliced Denoising: A Physics-Informed Molecular Pre-Training Method
Authors: yuyan ni, Shikun Feng, Wei-Ying Ma, Zhi-Ming Ma, Yanyan Lan
Affiliations: Institute for AI Industry Research (AIR), Tsinghua University; Beijing Academy of Artificial Intelligence; Institute for AI Industry Research (AIR), Tsinghua University; Academy of Mathematics and Systems Science, Chinese Academy of Sciences; University of Chinese Academy of Sciences; Academy of Mathematics and Systems Science, Chinese Academy of Sciences
Conference: iclr 2024 (main track)
Keywords: Molecule Representation; Pretraining; Denoising; Force Field
Decision: Poster
Title: The Expressive Power of Low-Rank Adaptation
Authors: Yuchen Zeng, Kangwook Lee
Affiliations: Department of Computer Science, University of Wisconsin-Madison; Department of Electrical and Computer Engineering, University of Wisconsin-Madison
Conference: iclr 2024 (main track)
Keywords: LoRA;expressive power;parameter-efficient fine-tuning;adaptation;neural networks;transformer
Decision: Poster
Title: ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models
Authors: İlker Kesen, Andrea Pedrotti, Mustafa Dogan, Michele Cafagna, Emre Can Acikgoz, Letitia Parcalabescu, Iacer Calixto, Anette Frank, Albert Gatt, Aykut Erdem, Erkut Erdem
Affiliations: Heidelberg University, Department of Computational Linguistics; University of Pisa, Department of Computer Science; Institute of Information Science and Technologies, Italian National Council of Research; Amsterdam UMC, University of Amsterdam, Department of Medical Informatics; Amsterdam Public Health, Methodology & Mental Health, Amsterdam, The Netherlands; Koç University, Department of Computer Engineering; Hacettepe University, Department of Computer Engineering; Hacettepe University, Department of Computer Engineering; Aselsan Research; University of Malta, Institute of Linguistics and Language Technology; Koç University, KUIS AI Center; Koç University, Department of Computer Engineering; University of Malta, Institute of Linguistics and Language Technology; Utrecht University, Department of Information and Computing Sciences
Conference: iclr 2024 (main track)
Keywords: vision-language benchmark;spatio-temporal grounding;video-language models;benchmark;evaluation;zero-shot
Decision: Poster
Title: Ring-A-Bell! How Reliable are Concept Removal Methods For Diffusion Models?
Authors: Yu-Lin Tsai, Chia-Yi Hsu, Chulin Xie, Chih-Hsun Lin, Jia You Chen, Bo Li, Pin-Yu Chen, Chia-Mu Yu, Chun-Ying Huang
Affiliations: National Yang Ming Chiao Tung University; University of Illinois at Urbana Champaign; IBM Research; University of Illinois at Urbana Champaign, University of Chicago
Conference: iclr 2024 (main track)
Keywords: redteaming;stable diffusion;text-to-image model
Decision: Poster
Title: Bounding Box Stability against Feature Dropout Reflects Detector Generalization across Environments
Authors: Yang2 Yang, Wenhai Wang, Zhe Chen, Jifeng Dai, Liang Zheng
Affiliations: Nanjing University, OpenGVLab, Shanghai AI Laboratory; The Australian National University; The Australian National University, OpenGVLab, Shanghai AI Laboratory; Tsinghua University; The Chinese University of Hong Kong
Conference: iclr 2024 (main track)
Keywords: Object Detection;Model Generalization
Decision: Spotlight
Title: EControl: Fast Distributed Optimization with Compression and Error Control
Authors: Yuan Gao, Rustem Islamov, Sebastian Stich
Affiliations: CISPA Helmholtz Center for Information Security; Universität Basel; Universität des Saarlandes, CISPA Helmholtz Center for Information Security
Conference: iclr 2024 (main track)
Keywords: Optimization;Federated Learning;Contractive Compression
Decision: Poster
Title: Bandits Meet Mechanism Design to Combat Clickbait in Online Recommendation
Authors: Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis, Haifeng Xu
Affiliations: The Alan Turing Institute; University of Chicago; TTIC (Currently with Apple ML Research); University of Neuchatel
Conference: iclr 2024 (main track)
Keywords: bandits;mechanism design;incentive-aware learning;nash equilibrium
Decision: Spotlight
Title: RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with Anomalies
Authors: Hao Cheng, Qingsong Wen, Yang Liu, Liang Sun
Affiliations: Alibaba Group; University of California, Santa Cruz
Conference: iclr 2024 (main track)
Keywords: Robust time series forecasting; learning with noisy labels
Decision: Poster
Title: Faster Approximation of Probabilistic and Distributional Values via Least Squares
Authors: Weida Li, Yaoliang Yu
Affiliations: Email: vidaslee@gmail.com; School of Computer Science, University of Waterloo, Vector Institute, Email: yaoliang.yu@uwaterloo.ca
Conference: iclr 2024 (main track)
Keywords: data valuation;probabilistic values;approximation;distributional Shapley value
Decision: Poster
Title: Time-Varying Propensity Score to Bridge the Gap between the Past and Present
Authors: Rasool Fakoor, Jonas Mueller, Zachary Lipton, Pratik A Chaudhari, Alex Smola
Affiliations: Amazon Web Services; Carnegie Mellon University; Boson AI; Cleanlab
Conference: iclr 2024 (main track)
Keywords: model adaptation to changing data;distribution shift
Decision: Poster
Title: To the Cutoff... and Beyond? A Longitudinal Perspective on LLM Data Contamination
Authors: Manley Roberts, Himanshu Thakur, Christine Herlihy, Colin White, Samuel Dooley
Affiliations: Abacus.AI, Carnegie Mellon University; University of Maryland; Abacus.AI
Conference: iclr 2024 (main track)
Keywords: contamination;memorization;llm;codeforces;project euler;datasets;benchmarks;training cutoff
Decision: Poster
Title: DENEVIL: TOWARDS DECIPHERING AND NAVIGATING THE ETHICAL VALUES OF LARGE LANGUAGE MODELS VIA INSTRUCTION LEARNING
Authors: Shitong Duan, Xiaoyuan Yi, Peng Zhang, Tun Lu, Xing Xie, Ning Gu
Affiliations: Microsoft Research Asia; Fudan University
Conference: iclr 2024 (main track)
Keywords: Ethical values;Large Language Models;Alignment
Decision: Poster
Title: Sentence-level Prompts Benefit Composed Image Retrieval
Authors: Yang Bai, Xinxing Xu, Yong Liu, Salman Khan, Fahad Khan, Wangmeng Zuo, Rick Siow Mong Mong, Chun-Mei Feng
Affiliations: Mohamed bin Zayed University of Artificial Intelligence (MBZUAI), UAE; Institute of High Performance Computing (IHPC), Agency for Science, Technology and Research (A*STAR), Singapore; Harbin Institute of Technology, Harbin, China
Conference: iclr 2024 (main track)
Keywords: Composed Image Retrieval;Vision-Language Pre-trained Models
Decision: Spotlight
Title: Policy Rehearsing: Training Generalizable Policies for Reinforcement Learning
Authors: Chengxing Jia, Chen-Xiao Gao, Hao Yin, Fuxiang Zhang, XiongHui Chen, Tian Xu, Lei Yuan, Zongzhang Zhang, Yang Yu, Zhi-Hua Zhou
Affiliations: Nanjing University, China; National Key Laboratory for Novel Software Technology, Nanjing University, China; National Key Laboratory for Novel Software Technology, Nanjing University, China & School of Artificial Intelligence, Nanjing University, China
Conference: iclr 2024 (main track)
Keywords: Reinforcement Learning;Model-based Reinforcement Learning;Offline Reinforcement Learning
Decision: Poster
Title: Fantastic Gains and Where to Find Them: On the Existence and Prospect of General Knowledge Transfer between Any Pretrained Model
Authors: Karsten Roth, Lukas Thede, A. Sophia Koepke, Oriol Vinyals, Olivier Henaff, Zeynep Akata
Affiliations: Tübingen AI Center & University of Tübingen; Google DeepMind; Tübingen AI Center & University of Tübingen, Helmholtz Munich, Technical University of Munich
Conference: iclr 2024 (main track)
Keywords: transfer learning;pretraining;weak-to-strong transfer;continual learning
Decision: Spotlight
Title: Constructing Adversarial Examples for Vertical Federated Learning: Optimal Client Corruption through Multi-Armed Bandit
Authors: Duanyi YAO, Songze Li, Ye XUE, Jin Liu
Affiliations: Shenzhen Research Institute of Big Data, CUHK(SZ); Southeast University; HKUST(GZ); HKUST
Conference: iclr 2024 (main track)
Keywords: Vertical Federated Learning;Adversarial Examples;Adaptive Client Corruption;Multi-armed Bandit
Decision: Poster
Title: DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness
Authors: Shoumik Saha, Wenxiao Wang, Yigitcan Kaya, Soheil Feizi, Tudor Dumitras
Affiliations: Department of Computer Science, University of Maryland - College Park
Conference: iclr 2024 (main track)
Keywords: machine learning;adversarial;malware;smoothing;robustness;defense;attack
Decision: Poster
Title: Federated Causal Discovery from Heterogeneous Data
Authors: Loka Li, Ignavier Ng, Gongxu Luo, Biwei Huang, Guangyi Chen, Tongliang Liu, Bin Gu, Kun Zhang
Affiliations: University of California San Diego; Carnegie Mellon University; Mohamed bin Zayed University of Artificial Intelligence
Conference: iclr 2024 (main track)
Keywords: Causal Discovery;Structure Learning;Federated Learning;Heterogeneous Data
Decision: Poster
Title: EquiformerV2: Improved Equivariant Transformer for Scaling to Higher-Degree Representations
Authors: Yi-Lun Liao, Brandon Wood, Abhishek Das, Tess Smidt
Affiliations: Massachusetts Institute of Technology; FAIR, Meta
Conference: iclr 2024 (main track)
Keywords: equivariant neural networks;graph neural networks;computational physics;transformer networks
Decision: Poster
Title: An Analytical Solution to Gauss-Newton Loss for Direct Image Alignment
Authors: Sergei Solonets, Daniil Sinitsyn, Lukas Von Stumberg, Nikita Araslanov, Daniel Cremers
Affiliations: Technical University of Munich, Munich Center for Machine Learning; Valve Software
Conference: iclr 2024 (main track)
Keywords: featuremetric image alignment
Decision: Oral
Title: Sum-Product-Set Networks: Deep Tractable Models for Tree-Structured Graphs
Authors: Milan Papez, Martin Rektoris, Tomáš Pevný, Vaclav Smidl
Affiliations: Artificial Intelligence Center, Czech Technical University
Conference: iclr 2024 (main track)
Keywords: Sum-product networks;graph neural networks;probabilistic circuits;tree-structured graphs;supervised learning
Decision: Poster
Title: Rethinking the Benefits of Steerable Features in 3D Equivariant Graph Neural Networks
Authors: Shih-Hsin Wang, Yung-Chang Hsu, Justin Baker, Andrea Bertozzi, Jack Xin, Bao Wang
Affiliations: Department of Mathematics, UC Irvine, Irvine, CA 92697, USA; Department of Mathematics, UCLA, Los Angeles, CA 90095, USA; Department of Mathematics, Purdue University, West Lafayette, IN 47907, USA; Department of Mathematics and Scientific Computing and Imaging (SCI) Institute, University of Utah, Salt Lake City, UT 84102, USA
Conference: iclr 2024 (main track)
Keywords: Steerable features;Equivariant graph neural networks;Message passing
Decision: Poster
Title: Seeking Neural Nuggets: Knowledge Transfer in Large Language Models from a Parametric Perspective
Authors: Ming Zhong, Chenxin An, Weizhu Chen, Jiawei Han, Pengcheng He
Affiliations: The University of Hong Kong; University of Illinois Urbana-Champaign; Microsoft Azure AI
Conference: iclr 2024 (main track)
Keywords: Parametric Knowledge Transfer;Large Language Model
Decision: Poster
Title: Emu: Generative Pretraining in Multimodality
Authors: Quan Sun, Qiying Yu, Yufeng Cui, Fan Zhang, Xiaosong Zhang, Yueze Wang, Hongcheng Gao, Jingjing Liu, Tiejun Huang, Xinlong Wang
Affiliations: Beijing Academy of Artificial Intelligence; Peking University; Tsinghua University
Conference: iclr 2024 (main track)
Keywords: Generative pretraining;Multimodal generalist;Foundation models;In-context multimodal learning
Decision: Poster
Title: SOTOPIA: Interactive Evaluation for Social Intelligence in Language Agents
Authors: Xuhui Zhou, Hao Zhu, Leena Mathur, Ruohong Zhang, Haofei Yu, Zhengyang Qi, Louis-Philippe Morency, Yonatan Bisk, Daniel Fried, Graham Neubig, Maarten Sap
Affiliations: Language Technologies Institute, Carnegie Mellon University
Conference: iclr 2024 (main track)
Keywords: Social;Interaction;Agent;Social intelligence;Large Language Models;Evaluation;Theory of Mind
Decision: Spotlight
Title: Beyond task performance: evaluating and reducing the flaws of large multimodal models with in-context-learning
Authors: Mustafa Shukor, Alexandre Rame, Corentin Dancette, MATTHIEU CORD
Affiliations: Sorbonne University; Sorbonne University, Valeo.ai
Conference: iclr 2024 (main track)
Keywords: large multimodal models;in-context-learning;evaluation;alignment to human preferences
Decision: Poster
Title: LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts
Authors: Hanan Gani, Shariq Bhat, Muzammal Naseer, Salman Khan, Peter Wonka
Affiliations: Mohamed Bin Zayed University of AI, Australian National University; KAUST; Mohamed Bin Zayed University of AI
Conference: iclr 2024 (main track)
Keywords: diffusion;LLM
Decision: Poster
Title: BrainSCUBA: Fine-Grained Natural Language Captions of Visual Cortex Selectivity
Authors: Andrew Luo, Maggie Henderson, Michael Tarr, Leila Wehbe
Affiliations: Carnegie Mellon University
Conference: iclr 2024 (main track)
Keywords: neuroscience;brain;fmri;captions;image synthesis;visual cortex;computational neuroscience
Decision: Poster
Title: On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks
Authors: Shengjie Zhou, Lue Tao, Yuzhou Cao, Tao Xiang, Bo An, Lei Feng
Affiliations: Nanyang Technological University; Chongqing University; Skywork AI; Nanjing University
Conference: iclr 2024 (main track)
Keywords: adversarial training;adversarial robustness;two-faced attacks
Decision: Poster
Title: Analyzing Feed-Forward Blocks in Transformers through the Lens of Attention Maps
Authors: Goro Kobayashi, Tatsuki Kuribayashi, Sho Yokoi, Kentaro Inui
Affiliations: MBZUAI, Tohoku University; MBZUAI, Tohoku University, RIKEN; Tohoku University, RIKEN
Conference: iclr 2024 (main track)
Keywords: Transformer;Attention map;Feed-forward;Contextualization;Interpretation;Analysis;Pre-trained models;Masked language models;Causal language models
Decision: Spotlight
Title: Rethinking CNN’s Generalization to Backdoor Attack from Frequency Domain
Authors: Quanrui Rao, Lin Wang, Wuying Liu
Affiliations: Xianda College of Economics and Humanities, Shanghai International Studies University, China; Shandong Key Laboratory of Language Resources Development and Application, Ludong University, China
Conference: iclr 2024 (main track)
Keywords: Backdoor attack;Generalization;Frequency domain;CNN
Decision: Poster
Title: Noise Map Guidance: Inversion with Spatial Context for Real Image Editing
Authors: Hansam Cho, Jonghyun Lee, Seoung Bum Kim, Tae-Hyun Oh, Yonghyun Jeong
Affiliations: School of Industrial and Management Engineering, Korea University, NAVER Cloud; NAVER Cloud; School of Industrial and Management Engineering, Korea University; Dept. of Electrical Engineering and Grad. School of Artificial Intelligence, POSTECH, Institute for Convergence Research and Education in Advanced Technology, Yonsei University
Conference: iclr 2024 (main track)
Keywords: Generative Models;Diffusion Models;Image Editing
Decision: Poster
Title: Enabling Efficient Equivariant Operations in the Fourier Basis via Gaunt Tensor Products
Authors: Shengjie Luo, Tianlang Chen, Aditi Krishnapriyan
Affiliations: Peking University; University of California, Berkeley
Conference: iclr 2024 (main track)
Keywords: Equivariant Operations; Tensor Product; Change of basis; Spherical Harmonics; Fourier Basis; equivariant neural networks
Decision: Spotlight
Title: RECOMP: Improving Retrieval-Augmented LMs with Context Compression and Selective Augmentation
Authors: Fangyuan Xu, Weijia Shi, Eunsol Choi
Affiliations: University of Washington; The University of Texas at Austin
Conference: iclr 2024 (main track)
Keywords: retrieval augmented language model;language modeling;question answering;summarization;distillation
Decision: Poster
Title: Class Probability Matching with Calibrated Networks for Label Shift Adaption
Authors: Hongwei Wen, Annika Betken, Hanyuan Hang
Affiliations: Faculty of Electrical Engineering, Mathematics and Computer Science, University of Twente, Enschede, The Netherlands
Conference: iclr 2024 (main track)
Keywords: Domain adaptation;Label shift;Matching methods
Decision: Poster