Most Cited 2024 "meta attacker" Papers

Diffusion Model for Dense Matching

Jisu Nam, Gyuseong Lee, Seonwoo Kim et al.

On the Posterior Distribution in Denoising: Application to Uncertainty Quantification

Hila Manor, Tomer Michaeli

F-HOI: Toward Fine-grained Semantic-Aligned 3D Human-Object Interactions

Jie Yang, Xuesong Niu, Nan Jiang et al.

Generalizable Sleep Staging via Multi-Level Domain Alignment

Jiquan Wang, Sha Zhao, Haiteng Jiang et al.

Learning to Reweight for Generalizable Graph Neural Network

Zhengyu Chen, Teng Xiao, Kun Kuang et al.

Tailoring Self-Rationalizers with Multi-Reward Distillation

Sahana Ramnath, Brihi Joshi, Skyler Hallinan et al.

GiT: Towards Generalist Vision Transformer through Universal Language Interface

Haiyang Wang, Hao Tang, Li Jiang et al.

Pre-Training Goal-based Models for Sample-Efficient Reinforcement Learning

Haoqi Yuan, Zhancun Mu, Feiyang Xie et al.

POPDG: Popular 3D Dance Generation with PopDanceSet

Zhenye Luo, Min Ren, Xuecai Hu et al.

milliFlow: Scene Flow Estimation on mmWave Radar Point Cloud for Human Motion Sensing

Fangqiang Ding, Zhen Luo, Peijun Zhao et al.

ModaVerse: Efficiently Transforming Modalities with LLMs

Xinyu Wang, Bohan Zhuang, Qi Wu

Object-Centric Diffusion for Efficient Video Editing

Kumara Kahatapitiya, Adil Karjauv, Davide Abati et al.

Democratizing Fine-grained Visual Recognition with Large Language Models

Mingxuan Liu, Subhankar Roy, Wenjing Li et al.

Maximum Entropy Heterogeneous-Agent Reinforcement Learning

Jiarong Liu, Yifan Zhong, Siyi Hu et al.

PanoContext-Former: Panoramic Total Scene Understanding with a Transformer

Yuan Dong, Chuan Fang, Liefeng Bo et al.

Explaining Time Series via Contrastive and Locally Sparse Perturbations

Zichuan Liu, Yingying ZHANG, Tianchun Wang et al.

Hyperbolic Geometric Latent Diffusion Model for Graph Generation

Xingcheng Fu, Yisen Gao, Yuecen Wei et al.

AddressCLIP: Empowering Vision-Language Models for City-wide Image Address Localization

Shixiong Xu, Chenghao Zhang, Lubin Fan et al.

RNAFlow: RNA Structure & Sequence Design via Inverse Folding-Based Flow Matching

Divya Nori, Wengong Jin

Semantic-aware SAM for Point-Prompted Instance Segmentation

Zhaoyang Wei, Pengfei Chen, Xuehui Yu et al.

Tool-Augmented Reward Modeling

Lei Li, Yekun Chai, Shuohuan Wang et al.

3D Hand Pose Estimation in Everyday Egocentric Images

Aditya Prakash, Ruisen Tu, Matthew Chang et al.

Causal Representation Learning Made Identifiable by Grouping of Observational Variables

Hiroshi Morioka, Aapo Hyvarinen

Utility-Fairness Trade-Offs and How to Find Them

Sepehr Dehdashtian, Bashir Sadeghi, Vishnu Naresh Boddeti

Projecting Molecules into Synthesizable Chemical Spaces

Shitong Luo, Wenhao Gao, Zuofan Wu et al.

Active Prompt Learning in Vision Language Models

Jihwan Bang, Sumyeong Ahn, Jae-Gil Lee

Rethinking Momentum Knowledge Distillation in Online Continual Learning

Nicolas MICHEL, Maorong Wang, Ling Xiao et al.

Submodular Reinforcement Learning

Manish Prajapat, Mojmir Mutny, Melanie Zeilinger et al.

FM-OV3D: Foundation Model-Based Cross-Modal Knowledge Blending for Open-Vocabulary 3D Detection

Dongmei Zhang, Chang Li, Renrui Zhang et al.

3D-SceneDreamer: Text-Driven 3D-Consistent Scene Generation

Songchun Zhang, Yibo Zhang, Quan Zheng et al.

IRGen: Generative Modeling for Image Retrieval

Yidan Zhang, Ting Zhang, DONG CHEN et al.

NeRF-MAE: Masked AutoEncoders for Self-Supervised 3D Representation Learning for Neural Radiance Fields

Muhammad Zubair Irshad, Sergey Zakharov, Vitor Guizilini et al.

Text2LiDAR: Text-guided LiDAR Point Clouds Generation via Equirectangular Transformer

Yang Wu, Kaihua Zhang, Jianjun Qian et al.

How Private are DP-SGD Implementations?

Lynn Chua, Badih Ghazi, Pritish Kamath et al.

A Sparsity Principle for Partially Observable Causal Representation Learning

Danru Xu, Dingling Yao, Sébastien Lachapelle et al.

MotionChain: Conversational Motion Controllers via Multimodal Prompts

Biao Jiang, Xin Chen, Chi Zhang et al.

Category-Level Multi-Part Multi-Joint 3D Shape Assembly

Yichen Li, Kaichun Mo, Yueqi Duan et al.

DPZero: Private Fine-Tuning of Language Models without Backpropagation

Liang Zhang, Bingcong Li, Kiran Thekumparampil et al.

DiffAIL: Diffusion Adversarial Imitation Learning

Bingzheng Wang, Guoqiang Wu, Teng Pang et al.

Convolutional Channel-Wise Competitive Learning for the Forward-Forward Algorithm

Andreas Papachristodoulou, Christos Kyrkou, Stelios Timotheou et al.

Contrastive Tuning: A Little Help to Make Masked Autoencoders Forget

Johannes Lehner, Benedikt Alkin, Andreas Fürst et al.

Position: Understanding LLMs Requires More Than Statistical Generalization

Patrik Reizinger, Szilvia Ujváry, Anna Mészáros et al.

Mind Marginal Non-Crack Regions: Clustering-Inspired Representation Learning for Crack Segmentation

zhuangzhuang chen, Zhuonan Lai, Jie Chen et al.

DIFFender: Diffusion-Based Adversarial Defense against Patch Attacks

Caixin Kang, Yinpeng Dong, Zhengyi Wang et al.

HMD-Poser: On-Device Real-time Human Motion Tracking from Scalable Sparse Observations

Peng Dai, Yang Zhang, Tao Liu et al.

Continuous Memory Representation for Anomaly Detection

Joo Chan Lee, Taejune Kim, Eunbyung Park et al.

A Diffusion-Based Pre-training Framework for Crystal Property Prediction

Zixing Song, Ziqiao Meng, Irwin King

Wikiformer: Pre-training with Structured Information of Wikipedia for Ad-Hoc Retrieval

Weihang Su, Qingyao Ai, Xiangsheng Li et al.

An Incremental Unified Framework for Small Defect Inspection

Jiaqi Tang, Hao Lu, Xiaogang Xu et al.

PromptFusion: Decoupling Stability and Plasticity for Continual Learning

Haoran Chen, Zuxuan Wu, Xintong Han et al.

Hybrid-Supervised Dual-Search: Leveraging Automatic Learning for Loss-Free Multi-Exposure Image Fusion

Guanyao Wu, Hongming Fu, Jinyuan Liu et al.

Adaptive Rational Activations to Boost Deep Reinforcement Learning

Quentin Delfosse, Patrick Schramowski, Martin Mundt et al.

SLEDGE: Synthesizing Driving Environments with Generative Models and Rule-Based Traffic

Kashyap Chitta, Daniel Dauner, Andreas Geiger

Converting Transformers to Polynomial Form for Secure Inference Over Homomorphic Encryption

Itamar Zimerman, Moran Baruch, Nir Drucker et al.

End-to-End Spatio-Temporal Action Localisation with Video Transformers

Alexey Gritsenko, Xuehan Xiong, Josip Djolonga et al.

Why is SAM Robust to Label Noise?

Christina Baek, J Kolter, Aditi Raghunathan

Generalization in Kernel Regression Under Realistic Assumptions

Daniel Barzilai, Ohad Shamir

IMPUS: Image Morphing with Perceptually-Uniform Sampling Using Diffusion Models

Zhaoyuan Yang, Zhengyang Yu, Zhiwei Xu et al.

LiveHPS: LiDAR-based Scene-level Human Pose and Shape Estimation in Free Environment

yiming ren, xiao han, Chengfeng Zhao et al.

Debiasing Algorithm through Model Adaptation

Tomasz Limisiewicz, David Mareček, Tomáš Musil

LayoutNUWA: Revealing the Hidden Layout Expertise of Large Language Models

Zecheng Tang, Zecheng Tang, Chenfei Wu et al.

LiDAR: Sensing Linear Probing Performance in Joint Embedding SSL Architectures

Vimal Thilak, Chen Huang, Omid Saremi et al.

PracticalDG: Perturbation Distillation on Vision-Language Models for Hybrid Domain Generalization

Zining Chen, Weiqiu Wang, Zhicheng Zhao et al.

Time- Memory- and Parameter-Efficient Visual Adaptation

Otniel-Bogdan Mercea, Alexey Gritsenko, Cordelia Schmid et al.

GridFormer: Point-Grid Transformer for Surface Reconstruction

Shengtao Li, Ge Gao, Yudong Liu et al.

VecFusion: Vector Font Generation with Diffusion

Vikas Thamizharasan, Difan Liu, Shantanu Agarwal et al.

Understanding Adam Optimizer via Online Learning of Updates: Adam is FTRL in Disguise

Kwangjun Ahn, Zhiyu Zhang, Yunbum Kook et al.

UniGen: A Unified Generative Framework for Retrieval and Question Answering with Large Language Models

Xiaoxi Li, Yujia Zhou, Zhicheng Dou

Low-Rank Rescaled Vision Transformer Fine-Tuning: A Residual Design Approach

Wei Dong, Xing Zhang, Bihui Chen et al.

NRDF: Neural Riemannian Distance Fields for Learning Articulated Pose Priors

Yannan He, Garvita Tiwari, Tolga Birdal et al.

Candidate Pseudolabel Learning: Enhancing Vision-Language Models by Prompt Tuning with Unlabeled Data

Jiahan Zhang, Qi Wei, Feng Liu et al.

Robust Calibration of Large Vision-Language Adapters

Balamurali Murugesan, Julio Silva-Rodríguez, Ismail Ben Ayed et al.

Learning Reward for Robot Skills Using Large Language Models via Self-Alignment

Yuwei Zeng, Yao Mu, Lin Shao

Collaborative Control for Geometry-Conditioned PBR Image Generation

Shimon Vainer, Mark Boss, Mathias Parger et al.

Reliability in Semantic Segmentation: Can We Use Synthetic Data?

Thibaut Loiseau, Tuan Hung Vu, Mickael Chen et al.

Summarize the Past to Predict the Future: Natural Language Descriptions of Context Boost Multimodal Object Interaction Anticipation

Razvan Pasca, Alexey Gavryushin, Muhammad Hamza et al.

Latent Space Symmetry Discovery

Jianke Yang, Nima Dehmamy, Robin Walters et al.

Rethinking Few-shot 3D Point Cloud Semantic Segmentation

Zhaochong An, Guolei Sun, Yun Liu et al.

Multimodal Molecular Pretraining via Modality Blending

Qiying Yu, Yudi Zhang, yuyan ni et al.

CrowdDiff: Multi-hypothesis Crowd Density Estimation using Diffusion Models

Yasiru Ranasinghe, Nithin Gopalakrishnan Nair, Wele Gedara Chaminda Bandara et al.

Targeted Representation Alignment for Open-World Semi-Supervised Learning

Ruixuan Xiao, Lei Feng, Kai Tang et al.

On the Provable Advantage of Unsupervised Pretraining

Jiawei Ge, Shange Tang, Jianqing Fan et al.

Online Zero-Shot Classification with CLIP

Qi Qian, JUHUA HU

How to Overcome Curse-of-Dimensionality for Out-of-Distribution Detection?

Soumya Suvra Ghosal, Yiyou Sun, Yixuan Li

Language-guided Image Reflection Separation

Haofeng Zhong, Yuchen Hong, Shuchen Weng et al.

PreSight: Enhancing Autonomous Vehicle Perception with City-Scale NeRF Priors

Tianyuan Yuan, Mao Yucheng, Jiawei Yang et al.

Eliminating Feature Ambiguity for Few-Shot Segmentation

Qianxiong Xu, Guosheng Lin, Chen Change Loy et al.

Position: Rethinking Post-Hoc Search-Based Neural Approaches for Solving Large-Scale Traveling Salesman Problems

Yifan Xia, Xianliang Yang, Zichuan Liu et al.

Feature Transportation Improves Graph Neural Networks

Moshe Eliasof, Eldad Haber, Eran Treister

ViLMA: A Zero-Shot Benchmark for Linguistic and Temporal Grounding in Video-Language Models

İlker Kesen, Andrea Pedrotti, Mustafa Dogan et al.

Towards Explainable Joint Models via Information Theory for Multiple Intent Detection and Slot Filling

Xianwei Zhuang, Xuxin Cheng, Yuexian Zou

OGNI-DC: Robust Depth Completion with Optimization-Guided Neural Iterations

Yiming Zuo, Jia Deng

Attribution-based Explanations that Provide Recourse Cannot be Robust

Hidde Fokkema, Rianne de Heide, Tim van Erven

RadEdit: stress-testing biomedical vision models via diffusion image editing

Fernando Pérez-García, Sam Bond-Taylor, Pedro Sanchez et al.

Be Careful What You Smooth For: Label Smoothing Can Be a Privacy Shield but Also a Catalyst for Model Inversion Attacks

Lukas Struppek, Dominik Hintersdorf, Kristian Kersting

GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction

Xinshun Wang, Qiongjie Cui, Chen Chen et al.

Implicit Event-RGBD Neural SLAM

Delin Qu, Chi Yan, Dong Wang et al.

ASAM: Boosting Segment Anything Model with Adversarial Tuning

Bo Li, Haoke Xiao, Lv Tang

Sketch and Refine: Towards Fast and Accurate Lane Detection

Chao Chen, Jie Liu, Chang Zhou et al.

Causal Walk: Debiasing Multi-Hop Fact Verification with Front-Door Adjustment

VisionTrap: Vision-Augmented Trajectory Prediction Guided by Textual Descriptions

Seokha Moon, Hyun Woo, Hongbeen Park et al.

Grokking in Linear Estimators -- A Solvable Model that Groks without Understanding

Noam Levi, Alon Beck, Yohai Bar-Sinai

CLIP-Gaze: Towards General Gaze Estimation via Visual-Linguistic Model

Pengwei Yin, Guanzhong Zeng, Jingjing Wang et al.

Deep SE(3)-Equivariant Geometric Reasoning for Precise Placement Tasks

Ben Eisner, Yi Yang, Todor Davchev et al.

SelEx: Self-Expertise in Fine-Grained Generalized Category Discovery

Sarah Rastegar, Mohammadreza Salehi, Yuki M Asano et al.

Language-Driven Anchors for Zero-Shot Adversarial Robustness

Xiao Li, Wei Zhang, Yining Liu et al.

MonoHair: High-Fidelity Hair Modeling from a Monocular Video

Keyu Wu, LINGCHEN YANG, Zhiyi Kuang et al.

Extend Your Own Correspondences: Unsupervised Distant Point Cloud Registration by Progressive Distance Extension

Quan Liu, Hongzi Zhu, Zhenxi Wang et al.

REBAR: Retrieval-Based Reconstruction for Time-series Contrastive Learning

Maxwell Xu, Alexander Moreno, Hui Wei et al.

T-Rep: Representation Learning for Time Series using Time-Embeddings

Archibald Fraikin, Adrien Bennetot, Stephanie Allassonniere

Spatio-Temporal Turbulence Mitigation: A Translational Perspective

Xingguang Zhang, Nicholas M Chimitt, Yiheng Chi et al.

Bi-ViT: Pushing the Limit of Vision Transformer Quantization

Yanjing Li, Sheng Xu, Mingbao Lin et al.

VideoRF: Rendering Dynamic Radiance Fields as 2D Feature Video Streams

Liao Wang, Kaixin Yao, Chengcheng Guo et al.

Estimating Canopy Height at Scale

Jan Pauls, Max Zimmer, Una Kelly et al.

Image Clustering Conditioned on Text Criteria

Sehyun Kwon, Jaden Park, Minkyu Kim et al.

SEED: A Simple and Effective 3D DETR in Point Clouds

Zhe Liu, Jinghua Hou, Xiaoqing Ye et al.

Adaptive Slot Attention: Object Discovery with Dynamic Slot Number

Ke Fan, Zechen Bai, Tianjun Xiao et al.

Re-Dock: Towards Flexible and Realistic Molecular Docking with Diffusion Bridge

Yufei Huang, Odin Zhang, Lirong Wu et al.

LeftRefill: Filling Right Canvas based on Left Reference through Generalized Text-to-Image Diffusion Model

Chenjie Cao, Yunuo Cai, Qiaole Dong et al.

SAMFlow: Eliminating Any Fragmentation in Optical Flow with Segment Anything Model

Videoshop: Localized Semantic Video Editing with Noise-Extrapolated Diffusion Inversion

Xiang Fan, Anand Bhattad, Ranjay Krishna

Carve3D: Improving Multi-view Reconstruction Consistency for Diffusion Models with RL Finetuning

Desai Xie, Jiahao Li, Hao Tan et al.

DIM: Dyadic Interaction Modeling for Social Behavior Generation

Minh Tran, Di Chang, Maksim Siniukov et al.

Latent Modulated Function for Computational Optimal Continuous Image Representation

Zongyao He, Zhi Jin

ViLA: Efficient Video-Language Alignment for Video Question Answering

Xijun Wang, Junbang Liang, Chun-Kai Wang et al.

CSTA: CNN-based Spatiotemporal Attention for Video Summarization

Jaewon Son, Jaehun Park, Kwangsu Kim

Decoding AI’s Nudge: A Unified Framework to Predict Human Behavior in AI-Assisted Decision Making

Zhuoyan Li, Zhuoran Lu, Ming Yin

Mimic: Speaking Style Disentanglement for Speech-Driven 3D Facial Animation

Hui Fu, Zeqing Wang, Ke Gong et al.

GENOME: Generative Neuro-Symbolic Visual Reasoning by Growing and Reusing Modules

Zhenfang Chen, Rui Sun, Wenjun Liu et al.

How connectivity structure shapes rich and lazy learning in neural circuits

Yuhan Helena Liu, Aristide Baratin, Jonathan Cornford et al.

Towards Theoretical Understandings of Self-Consuming Generative Models

Shi Fu, Sen Zhang, Yingjie Wang et al.

Meaning Representations from Trajectories in Autoregressive Models

Tian Yu Liu, Matthew Trager, Alessandro Achille et al.

Narrative Action Evaluation with Prompt-Guided Multimodal Interaction

Shiyi Zhang, Sule Bai, Guangyi Chen et al.

Boosting of Thoughts: Trial-and-Error Problem Solving with Large Language Models

Sijia Chen, Baochun Li, Di Niu

Visual Delta Generator with Large Multi-modal Models for Semi-supervised Composed Image Retrieval

Young Kyun Jang, Donghyun Kim, Zihang Meng et al.

Erasing the Bias: Fine-Tuning Foundation Models for Semi-Supervised Learning

Kai Gan, Tong Wei

Idempotent Generative Network

Assaf Shocher, Amil Dravid, Yossi Gandelsman et al.

Depth Prompting for Sensor-Agnostic Depth Estimation

Jin-Hwi Park, Chanhwi Jeong, Junoh Lee et al.

Online Continual Learning for Interactive Instruction Following Agents

Byeonghwi Kim, Minhyuk Seo, Jonghyun Choi

HumanRef: Single Image to 3D Human Generation via Reference-Guided Diffusion

Jingbo Zhang, Xiaoyu Li, Qi Zhang et al.

STEER: Assessing the Economic Rationality of Large Language Models

Narun Raman, Taylor Lundy, Samuel Joseph Amouyal et al.

COCONut: Modernizing COCO Segmentation

Xueqing Deng, Qihang Yu, Peng Wang et al.

When Semantic Segmentation Meets Frequency Aliasing

Linwei Chen, Lin Gu, Ying Fu

Self-Supervised Speech Quality Estimation and Enhancement Using Only Clean Speech

Szu-Wei Fu, Kuo-Hsuan Hung, Yu Tsao et al.

Optimal Ridge Regularization for Out-of-Distribution Prediction

Pratik Patil, Jin-Hong Du, Ryan Tibshirani

Retrieval-Augmented Open-Vocabulary Object Detection

Jooyeon Kim, Eulrang Cho, Sehyung Kim et al.

TI2V-Zero: Zero-Shot Image Conditioning for Text-to-Video Diffusion Models

Haomiao Ni, Bernhard Egger, Suhas Lohit et al.

To Grok or not to Grok: Disentangling Generalization and Memorization on Corrupted Algorithmic Datasets

Darshil Doshi, Aritra Das, Tianyu He et al.

Factorized Diffusion: Perceptual Illusions by Noise Decomposition

Daniel Geng, Inbum Park, Andrew Owens

The Generalization Gap in Offline Reinforcement Learning

Ishita Mediratta, Qingfei You, Minqi Jiang et al.

Robust-Wide: Robust Watermarking against Instruction-driven Image Editing

Runyi Hu, Jie Zhang, Ting Xu et al.

T-VSL: Text-Guided Visual Sound Source Localization in Mixtures

Tanvir Mahmud, Yapeng Tian, Diana Marculescu

TinyTrain: Resource-Aware Task-Adaptive Sparse Training of DNNs at the Data-Scarce Edge

Young Kwon, Rui Li, Stylianos Venieris et al.

TimeSiam: A Pre-Training Framework for Siamese Time-Series Modeling

Jiaxiang Dong, Haixu Wu, Yuxuan Wang et al.

Forward Learning with Top-Down Feedback: Empirical and Analytical Characterization

Ravi Srinivasan, Francesca Mignacco, Martino Sorbaro et al.

HERGen: Elevating Radiology Report Generation with Longitudinal Data

Fuying Wang, Shenghui Du, Lequan Yu

TeTriRF: Temporal Tri-Plane Radiance Fields for Efficient Free-Viewpoint Video

Minye Wu, Zehao Wang, Georgios Kouros et al.

UVEB: A Large-scale Benchmark and Baseline Towards Real-World Underwater Video Enhancement

yaofeng xie, Lingwei Kong, Kai Chen et al.

DreamPropeller: Supercharge Text-to-3D Generation with Parallel Sampling

Linqi Zhou, Andy Shih, Chenlin Meng et al.

Distilling Vision-Language Models on Millions of Videos

Yue Zhao, Long Zhao, Xingyi Zhou et al.

Enhancing the Robustness of Spiking Neural Networks with Stochastic Gating Mechanisms

Jianhao Ding, Zhaofei Yu, Tiejun Huang et al.

One-Shot Diffusion Mimicker for Handwritten Text Generation

Gang Dai, Yifan Zhang, Quhui Ke et al.

Real-time 3D-aware Portrait Video Relighting

Ziqi Cai, Kaiwen Jiang, Shu-Yu Chen et al.

Multi-Level Neural Scene Graphs for Dynamic Urban Environments

Tobias Fischer, Lorenzo Porzi, Samuel Rota Bulò et al.

ZeST: Zero-Shot Material Transfer from a Single Image

Ta-Ying Cheng, Prafull Sharma, Andrew Markham et al.

VideoMAC: Video Masked Autoencoders Meet ConvNets

Gensheng Pei, Tao Chen, Xiruo Jiang et al.

An Upload-Efficient Scheme for Transferring Knowledge From a Server-Side Pre-trained Generator to Clients in Heterogeneous Federated Learning

Jianqing Zhang, Yang Liu, Yang Hua et al.

Zero-shot Referring Expression Comprehension via Structural Similarity Between Images and Captions

Zeyu Han, Fangrui Zhu, Qianru Lao et al.

Discovering Temporally-Aware Reinforcement Learning Algorithms

Matthew T Jackson, Chris Lu, Louis Kirsch et al.

Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective

Qirui Ji, Jiangmeng Li, Jie Hu et al.

Proportional Aggregation of Preferences for Sequential Decision Making

Nikhil Chandak, Shashwat Goel, Dominik Peters

Compositional Few-Shot Class-Incremental Learning

Yixiong Zou, Shanghang Zhang, haichen zhou et al.

Moreau Envelope for Nonconvex Bi-Level Optimization: A Single-Loop and Hessian-Free Solution Strategy

Risheng Liu, Zhu Liu, Wei Yao et al.

Few-Shot Character Understanding in Movies as an Assessment to Meta-Learning of Theory-of-Mind

Mo Yu, Qiujing Wang, Shunchi Zhang et al.

ZePT: Zero-Shot Pan-Tumor Segmentation via Query-Disentangling and Self-Prompting

Yankai Jiang, Zhongzhen Huang, Rongzhao Zhang et al.

Is Vanilla MLP in Neural Radiance Field Enough for Few-shot View Synthesis?

Hanxin Zhu, Tianyu He, Xin Li et al.

Learning Optimal Contracts: How to Exploit Small Action Spaces

Francesco Bacchiocchi, Matteo Castiglioni, Alberto Marchesi et al.

Improving Plasticity in Online Continual Learning via Collaborative Learning

Maorong Wang, Nicolas Michel, Ling Xiao et al.

Fourier-basis Functions to Bridge Augmentation Gap: Rethinking Frequency Augmentation in Image Classification

Mei Vaish, Shunxin Wang, Nicola Strisciuglio

Conditional Information Bottleneck Approach for Time Series Imputation

MinGyu Choi, Changhee Lee

MOFDiff: Coarse-grained Diffusion for Metal-Organic Framework Design

Xiang Fu, Tian Xie, Andrew Rosen et al.

Few-Shot Anomaly-Driven Generation for Anomaly Classification and Segmentation

Guan Gui, Bin-Bin Gao, Jun Liu et al.

GRAM: Global Reasoning for Multi-Page VQA

Itshak Blau, Sharon Fogel, Roi Ronen et al.

Unlocking the Potential of Prompt-Tuning in Bridging Generalized and Personalized Federated Learning

wenlong deng, Christos Thrampoulidis, Xiaoxiao Li

ZO-AdaMU Optimizer: Adapting Perturbation by the Momentum and Uncertainty in Zeroth-Order Optimization

Shuoran Jiang, Qingcai Chen, Yang Xiang et al.

Training-free Video Temporal Grounding using Large-scale Pre-trained Models

Minghang Zheng, Xinhao Cai, Qingchao Chen et al.

IIANet: An Intra- and Inter-Modality Attention Network for Audio-Visual Speech Separation

Kai Li, Runxuan Yang, Fuchun Sun et al.

Purify Unlearnable Examples via Rate-Constrained Variational Autoencoders

Yi Yu, Yufei Wang, Song Xia et al.

Pathologies of Predictive Diversity in Deep Ensembles

Geoff Pleiss, Taiga Abe, E. Kelly Buchanan et al.

STAR: Boosting Low-Resource Information Extraction by Structure-to-Text Data Generation with Large Language Models

Mingyu Derek Ma, Xiaoxuan Wang, Po-Nien Kung et al.

GOODAT: Towards Test-Time Graph Out-of-Distribution Detection

Luzhi Wang, Di Jin, He Zhang et al.

AMEGO: Active Memory from long EGOcentric videos

Gabriele Goletto, Tushar Nagarajan, Giuseppe Averta et al.

Restore Anything with Masks: Leveraging Mask Image Modeling for Blind All-in-One Image Restoration

Chu Jie Qin, Ruiqi Wu, Zikun Liu et al.

Understanding the Effects of Iterative Prompting on Truthfulness

Satyapriya Krishna, Chirag Agarwal, Himabindu Lakkaraju

Implicit regularization of deep residual networks towards neural ODEs

Pierre Marion, Yu-Han Wu, Michael Sander et al.

Question Calibration and Multi-Hop Modeling for Temporal Question Answering

Chao Xue, Di Liang, Pengfei Wang et al.

Domain Randomization via Entropy Maximization

Gabriele Tiboni, Pascal Klink, Jan Peters et al.

EDA: Evolving and Distinct Anchors for Multimodal Motion Prediction

Longzhong Lin, Xuewu Lin, Tianwei Lin et al.

Quantifying and Analyzing Entity-Level Memorization in Large Language Models

Zhenhong Zhou, Jiuyang Xiang, Chaomeng Chen et al.

Navigation Instruction Generation with BEV Perception and Large Language Models

Sheng Fan, Rui Liu, Wenguan Wang et al.