Most Cited 2024 "adversarial patch attack" Papers

AegisFL: Efficient and Flexible Privacy-Preserving Byzantine-Robust Cross-silo Federated Learning

Dong Chen, Hongyuan Qu, Guangwu Xu

One for All: A Universal Generator for Concept Unlearnability via Multi-Modal Alignment

Chaochao Chen, Jiaming Zhang, Yuyuan Li et al.

Forget Sharpness: Perturbed Forgetting of Model Biases Within SAM Dynamics

Ankit Vani, Frederick Tung, Gabriel Oliveira et al.

Just Cluster It: An Approach for Exploration in High-Dimensions using Clustering and Pre-Trained Representations

Stefan Sylvius Wagner Martinez, Stefan Harmeling

MVCPS-NeuS: Multi-view Constrained Photometric Stereo for Neural Surface Reconstruction

Hiroaki Santo, Fumio Okura, Yasuyuki Matsushita

L-DiffER: Single Image Reflection Removal with Language-based Diffusion Model

Yuchen Hong, Haofeng Zhong, Shuchen Weng et al.

Towards a Self-contained Data-driven Global Weather Forecasting Framework

Yi Xiao, LEI BAI, Wei Xue et al.

E-GPS: Explainable Geometry Problem Solving via Top-Down Solver and Bottom-Up Generator

Wenjun Wu, Lingling Zhang, Jun Liu et al.

To Each (Textual Sequence) Its Own: Improving Memorized-Data Unlearning in Large Language Models

George-Octavian Bărbulescu, Peter Triantafillou

S$\Omega$I: Score-based O-INFORMATION Estimation

Mustapha BOUNOUA, Giulio Franzese, Pietro Michiardi

CLIP-Driven Open-Vocabulary 3D Scene Graph Generation via Cross-Modality Contrastive Learning

Lianggangxu Chen, Xuejiao Wang, Jiale Lu et al.

Unveiling Parts Beyond Objects: Towards Finer-Granularity Referring Expression Segmentation

Wenxuan Wang, Tongtian Yue, Yisi Zhang et al.

Two Heads are Actually Better than One: Towards Better Adversarial Robustness via Transduction and Rejection

Nils Palumbo, Yang Guo, Xi Wu et al.

How Video Meetings Change Your Expression

Sumit Sarin, Utkarsh Mall, Purva Tendulkar et al.

Position: On the Possibilities of AI-Generated Text Detection

Souradip Chakraborty, Amrit Singh Bedi, Sicheng Zhu et al.

PanoPose: Self-supervised Relative Pose Estimation for Panoramic Images

Diantao Tu, Hainan Cui, Xianwei Zheng et al.

Mask4Align: Aligned Entity Prompting with Color Masks for Multi-Entity Localization Problems

Haoquan Zhang, Ronggang Huang, Yi Xie et al.

Multi-agent Collaborative Perception via Motion-aware Robust Communication Network

Shixin Hong, Yu LIU, Zhi Li et al.

Diffuse Attend and Segment: Unsupervised Zero-Shot Segmentation using Stable Diffusion

Junjiao Tian, Lavisha Aggarwal, Andrea Colaco et al.

Language-only Training of Zero-shot Composed Image Retrieval

Geonmo Gu, Sanghyuk Chun, Wonjae Kim et al.

Holistic Features are almost Sufficient for Text-to-Video Retrieval

Kaibin Tian, Ruixiang Zhao, Zijie Xin et al.

PredToken: Predicting Unknown Tokens and Beyond with Coarse-to-Fine Iterative Decoding

Xuesong Nie, Haoyuan Jin, Yunfeng Yan et al.

Learning with Partial-Label and Unlabeled Data: A Uniform Treatment for Supervision Redundancy and Insufficiency

Yangfan Liu, JIAQI LYU, Xin Geng et al.

CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification

Yuanmin Huang, Mi Zhang, Daizong Ding et al.

AdaShift: Learning Discriminative Self-Gated Neural Feature Activation With an Adaptive Shift Factor

Sudong Cai

LiSA: LiDAR Localization with Semantic Awareness

Bochun Yang, Zijun Li, Wen Li et al.

Active Ranking and Matchmaking, with Perfect Matchings

Hafedh El Ferchichi, Matthieu LERASLE, Vianney Perchet

Learning Coupled Dictionaries from Unpaired Data for Image Super-Resolution

Longguang Wang, Juncheng Li, Yingqian Wang et al.

Towards Neural Architecture Search through Hierarchical Generative Modeling

Lichuan Xiang, Łukasz Dudziak, Mohamed Abdelfattah et al.

iToF-flow-based High Frame Rate Depth Imaging

Yu Meng, Zhou Xue, Xu Chang et al.

Amortized Variational Deep Kernel Learning

Alan Matias, César Lincoln Mattos, Joao Paulo Gomes et al.

Rethinking Human Motion Prediction with Symplectic Integral

Haipeng Chen, Kedi L yu, Zhenguang Liu et al.

SaVeR: Optimal Data Collection Strategy for Safe Policy Evaluation in Tabular MDP

Subhojyoti Mukherjee, Josiah Hanna, Robert Nowak

DiVAS: Video and Audio Synchronization with Dynamic Frame Rates

Clara Maria Fernandez Labrador, Mertcan Akcay, Eitan Abecassis et al.

Your Transferability Barrier is Fragile: Free-Lunch for Transferring the Non-Transferable Learning

Ziming Hong, Li Shen, Tongliang Liu

Visual Layout Composer: Image-Vector Dual Diffusion Model for Design Layout Generation

Mohammad Amin Shabani, Zhaowen Wang, Difan Liu et al.

Position: Reinforcement Learning in Dynamic Treatment Regimes Needs Critical Reexamination

Zhiyao Luo, Yangchen Pan, Peter Watkinson et al.

Benchmarking Audio Visual Segmentation for Long-Untrimmed Videos

Chen Liu, Peike Li, Qingtao Yu et al.

Modality-Collaborative Test-Time Adaptation for Action Recognition

Baochen Xiong, Xiaoshan Yang, Yaguang Song et al.

Graph Out-of-Distribution Detection Goes Neighborhood Shaping

Tianyi Bao, Qitian Wu, Zetian Jiang et al.

Mean-Shift Feature Transformer

Takumi Kobayashi

Position: On the Societal Impact of Open Foundation Models

Sayash Kapoor, Rishi Bommasani, Kevin Klyman et al.

Learning Label Shift Correction for Test-Agnostic Long-Tailed Recognition

Tong Wei, Zhen Mao, Zi-Hao Zhou et al.

Fast Adaptation for Human Pose Estimation via Meta-Optimization

Shengxiang Hu, Huaijiang Sun, Bin Li et al.

LayoutFormer: Hierarchical Text Detection Towards Scene Text Understanding

Min Liang, Jia-Wei Ma, Xiaobin Zhu et al.

L4D-Track: Language-to-4D Modeling Towards 6-DoF Tracking and Shape Reconstruction in 3D Point Cloud Stream

Jingtao Sun, Yaonan Wang, Mingtao Feng et al.

NightCC: Nighttime Color Constancy via Adaptive Channel Masking

Shuwei Li, Robby T. Tan

Self-Driven Entropy Aggregation for Byzantine-Robust Heterogeneous Federated Learning

Wenke Huang, Zekun Shi, Mang Ye et al.

G^3-LQ: Marrying Hyperbolic Alignment with Explicit Semantic-Geometric Modeling for 3D Visual Grounding

Yuan Wang, Yali Li, Shengjin Wang

Rethinking Deep Unrolled Model for Accelerated MRI Reconstruction

Bingyu Xin, Meng Ye, Leon Axel et al.

Faster Streaming and Scalable Algorithms for Finding Directed Dense Subgraphs in Large Graphs

Slobodan Mitrovic, Theodore Pan

IBD-SLAM: Learning Image-Based Depth Fusion for Generalizable SLAM

Minghao Yin, Shangzhe Wu, Kai Han

Retrieval Robust to Object Motion Blur

Rong Zou, Marc Pollefeys, Denys Rozumnyi

Effect-Invariant Mechanisms for Policy Generalization

Sorawit Saengkyongam, Niklas Pfister, Predag Klasnja et al.

BilevelPruning: Unified Dynamic and Static Channel Pruning for Convolutional Neural Networks

Shangqian Gao, Yanfu Zhang, Feihu Huang et al.

Brush2Prompt: Contextual Prompt Generator for Object Inpainting

Mang Tik Chiu, Yuqian Zhou, Lingzhi Zhang et al.

Segment Any Event Streams via Weighted Adaptation of Pivotal Tokens

Zhiwen Chen, Zhiyu Zhu, Yifan Zhang et al.

Boosting Image Quality Assessment through Efficient Transformer Adaptation with Local Feature Enhancement

Kangmin Xu, Liang Liao, Jing Xiao et al.

Realigning Confidence with Temporal Saliency Information for Point-Level Weakly-Supervised Temporal Action Localization

Ziying Xia, Jian Cheng, Siyu Liu et al.

SpiderMatch: 3D Shape Matching with Global Optimality and Geometric Consistency

Paul Roetzer, Florian Bernard

Exploring Orthogonality in Open World Object Detection

Zhicheng Sun, Jinghan Li, Yadong Mu

STELLA: Continual Audio-Video Pre-training with SpatioTemporal Localized Alignment

Jaewoo Lee, Jaehong Yoon, Wonjae Kim et al.

DiffusionTrack: Point Set Diffusion Model for Visual Object Tracking

Fei Xie, Zhongdao Wang, Chao Ma

Latency Correction for Event-guided Deblurring and Frame Interpolation

Yixin Yang, Jinxiu Liang, Bohan Yu et al.

An Asymmetric Augmented Self-Supervised Learning Method for Unsupervised Fine-Grained Image Hashing

Feiran Hu, Chenlin Zhang, Jiangliang GUO et al.

ZERO-IG: Zero-Shot Illumination-Guided Joint Denoising and Adaptive Enhancement for Low-Light Images

Yiqi Shi, Duo Liu, Liguo Zhang et al.

MLI Formula: A Nearly Scale-Invariant Solution with Noise Perturbation

Bowen Tao, Xin-Chun Li, De-Chuan Zhan

Self-Supervised Representation Learning from Arbitrary Scenarios

Zhaowen Li, Yousong Zhu, Zhiyang Chen et al.

Adversarial Distillation Based on Slack Matching and Attribution Region Alignment

Shenglin Yin, Zhen Xiao, Mingxuan Song et al.

TextNeRF: A Novel Scene-Text Image Synthesis Method based on Neural Radiance Fields

Jialei Cui, Jianwei Du, Wenzhuo Liu et al.

AHIVE: Anatomy-aware Hierarchical Vision Encoding for Interactive Radiology Report Retrieval

Sixing Yan, William K. Cheung, Ivor Tsang et al.

Uncertainty-aware Action Decoupling Transformer for Action Anticipation

Hongji Guo, Nakul Agarwal, Shao-Yuan Lo et al.

Multi-Scale Video Anomaly Detection by Multi-Grained Spatio-Temporal Representation Learning

Menghao Zhang, Jingyu Wang, Qi Qi et al.

CPT-VR: Improving Surface Rendering via Closest Point Transform with View-Reflection Appearance

Zhipeng Hu, Yongqiang Zhang, Chen Liu et al.

Improved Dimensionality Dependence for Zeroth-Order Optimisation over Cross-Polytopes

Weijia Shao

SPU-PMD: Self-Supervised Point Cloud Upsampling via Progressive Mesh Deformation

Yanzhe Liu, Rong Chen, Yushi Li et al.

Enhancing the Power of OOD Detection via Sample-Aware Model Selection

Feng Xue, Zi He, Yuan Zhang et al.

MMA: Multi-Modal Adapter for Vision-Language Models

Lingxiao Yang, Ru-Yuan Zhang, Yanchen Wang et al.

A Category Agnostic Model for Visual Rearrangment

Yuyi Liu, Xinhang Song, Weijie Li et al.

Position: Opportunities Exist for Machine Learning in Magnetic Fusion Energy

Lucas Spangher, Allen Wang, Andrew Maris et al.

Towards Progressive Multi-Frequency Representation for Image Warping

Jun Xiao, Zihang Lyu, Cong Zhang et al.

Molecular Data Programming: Towards Molecule Pseudo-labeling with Systematic Weak Supervision

Xin Juan, Kaixiong Zhou, Ninghao Liu et al.

Uni3DL: A Unified Model for 3D Vision-Language Understanding

Xiang Li, Jian Ding, Zhaoyang Chen et al.

Density-Adaptive Model Based on Motif Matrix for Multi-Agent Trajectory Prediction

Di Wen, Haoran Xu, Zhaocheng He et al.

GenHowTo: Learning to Generate Actions and State Transformations from Instructional Videos

Tomas Soucek, Dima Damen, Michael Wray et al.

SAOR: Single-View Articulated Object Reconstruction

Mehmet Aygun, Oisin Mac Aodha

OTE: Exploring Accurate Scene Text Recognition Using One Token

Jianjun Xu, Yuxin Wang, Hongtao Xie et al.

Learning to Robustly Reconstruct Dynamic Scenes from Low-light Spike Streams

Liwen Hu, gang ding, Mianzhi Liu et al.

DCDM: Diffusion-Conditioned-Diffusion Model for Scene Text Image Super-Resolution

Shrey Singh, Prateek Keserwani, Masakazu Iwamura et al.

Rethinking Image Super Resolution from Training Data Perspectives

Go Ohtani, Ryu Tadokoro, Ryosuke Yamada et al.

TTA-EVF: Test-Time Adaptation for Event-based Video Frame Interpolation via Reliable Pixel and Sample Estimation

Hoonhee Cho, Taewoo Kim, Yuhwan Jeong et al.

DVMNet: Computing Relative Pose for Unseen Objects Beyond Hypotheses

Chen Zhao, Tong Zhang, Zheng Dang et al.

Hyper-MD: Mesh Denoising with Customized Parameters Aware of Noise Intensity and Geometric Characteristics

Xingtao Wang, Hongliang Wei, Xiaopeng Fan et al.

An Empirical Study of Scaling Law for Scene Text Recognition

Miao Rang, Zhenni Bi, Chuanjian Liu et al.

Position: Fundamental Limitations of LLM Censorship Necessitate New Approaches

David Glukhov, Ilia Shumailov, Yarin Gal et al.

Information Complexity of Stochastic Convex Optimization: Applications to Generalization, Memorization, and Tracing

Idan Attias, Gintare Karolina Dziugaite, Mahdi Haghifam et al.

Bifurcated Attention for Single-Context Large-Batch Sampling

Ben Athiwaratkun, Sujan Kumar Gonugondla, Sanjay Krishna Gouda et al.

Breadth-First Exploration on Adaptive Grid for Reinforcement Learning

Youngsik Yoon, Gangbok Lee, Sungsoo Ahn et al.

When StyleGAN Meets Stable Diffusion: a W+ Adapter for Personalized Image Generation

Xiaoming Li, Xinyu Hou, Chen Change Loy

MarineInst: A Foundation Model for Marine Image Analysis with Instance Visual Description

Ziqiang Zheng, Yiwei Chen, Huimin Zeng et al.

Prompting Vision Foundation Models for Pathology Image Analysis

CHONG YIN, Siqi Liu, Kaiyang Zhou et al.

Differentiable Neural Surface Refinement for Modeling Transparent Objects

Weijian Deng, Dylan Campbell, Chunyi Sun et al.

Towards Co-Evaluation of Cameras HDR and Algorithms for Industrial-Grade 6DoF Pose Estimation

Agastya Kalra, Guy Stoppi, Dmitrii Marin et al.

Tune-An-Ellipse: CLIP Has Potential to Find What You Want

Jinheng Xie, Songhe Deng, Bing Li et al.

EASE-DETR: Easing the Competition among Object Queries

Yulu Gao, Yifan Sun, Xudong Ding et al.

Device-Wise Federated Network Pruning

Shangqian Gao, Junyi Li, Zeyu Zhang et al.

PairDETR : Joint Detection and Association of Human Bodies and Faces

Ammar Ali, Georgii Gaikov, Denis Rybalchenko et al.

Soft Shadow Diffusion (SSD): Physics-inspired Learning for 3D Computational Periscopy

Fadlullah Raji, John Murray-Bruce

Close Imitation of Expert Retouching for Black-and-White Photography

Seunghyun Shin, Jisu Shin, Jihwan Bae et al.

FisherRF: Active View Selection and Mapping with Radiance Fields using Fisher Information

Wen Jiang, BOSHU LEI, Kostas Daniilidis

Bézier Everywhere All at Once: Learning Drivable Lanes as Bézier Graphs

Hugh Blayney, Hanlin Tian, Hamish Scott et al.

Dynamic Metric Embedding into lp Space

Kiarash Banihashem, MohammadTaghi Hajiaghayi, Dariusz Kowalski et al.

Revisiting Global Translation Estimation with Feature Tracks

Peilin Tao, Hainan Cui, Mengqi Rong et al.

Ink Dot-Oriented Differentiable Optimization for Neural Image Halftoning

Hao Jiang, Bingfeng Zhou, Yadong Mu

CommonCanvas: Open Diffusion Models Trained on Creative-Commons Images

Aaron Gokaslan, A. Feder Cooper, Jasmine Collins et al.

FACT: Frame-Action Cross-Attention Temporal Modeling for Efficient Action Segmentation

Zijia Lu, Ehsan Elhamifar

ShapeMatcher: Self-Supervised Joint Shape Canonicalization Segmentation Retrieval and Deformation

Yan Di, Chenyangguang Zhang, Chaowei Wang et al.

Adaptive Parametric Activation

Konstantinos P Alexandridis, Jiankang Deng, Anh Nguyen et al.

SVDTree: Semantic Voxel Diffusion for Single Image Tree Reconstruction

Yuan Li, Zhihao Liu, Bedrich Benes et al.

The Emergence of Reproducibility and Consistency in Diffusion Models

Huijie Zhang, Jinfan Zhou, Yifu Lu et al.

Accelerated Speculative Sampling Based on Tree Monte Carlo

Zhengmian Hu, Heng Huang

Leveraging Frame Affinity for sRGB-to-RAW Video De-rendering

Chen Zhang, Wencheng Han, Yang Zhou et al.

Elysium: Exploring Object-level Perception in Videos through Semantic Integration Using MLLMs

Han Wang, Yanjie Wang, Ye Yongjie et al.

Language Agent Tree Search Unifies Reasoning, Acting, and Planning in Language Models

Andy Zhou, Kai Yan, Michal Shlapentokh-Rothman et al.

Measures of diversity and space-filling designs for categorical data

AstraZeneca Pharmaceutica, Emilio Domínguez-Sánchez, Merwan Barlier et al.

Rethinking Data Bias: Dataset Copyright Protection via Embedding Class-wise Hidden Bias

Jinhyeok Jang, ByungOk Han, Jaehong Kim et al.

Visual Relationship Transformation

Xiaoyu Xu, Jiayan Qiu, Baosheng Yu et al.

Federated Learning with Local Openset Noisy Labels

Zonglin Di, Zhaowei Zhu, Xiaoxiao Li et al.

Conditional Common Entropy for Instrumental Variable Testing and Partial Identification

Ziwei Jiang, Murat Kocaoglu

On the Asymptotic Distribution of the Minimum Empirical Risk

Jacob Westerhout, TrungTin Nguyen, Xin Guo et al.

Benchmarking Deletion Metrics with the Principled Explanations

Yipei Wang, Xiaoqian Wang

Online Matrix Completion: A Collaborative Approach with Hott Items

Dheeraj Baby, Soumyabrata Pal

Diffuse, Sample, Project: Plug-And-Play Controllable Graph Generation

Kartik Sharma, Srijan Kumar, Rakshit Trivedi

Benign Overfitting in Adversarial Training of Neural Networks

Yunjuan Wang, Kaibo Zhang, Raman Arora

Ensemble Pruning for Out-of-distribution Generalization

Fengchun Qiao, Xi Peng

PoseSOR: Human Pose Can Guide Our Attention

Huankang Guan, Rynson W.H. Lau

SpeedUpNet: A Plug-and-Play Adapter Network for Accelerating Text-to-Image Diffusion Models

Weilong Chai, Dandan Zheng, Jiajiong Cao et al.

Patch2Self2: Self-supervised Denoising on Coresets via Matrix Sketching

Shreyas Fadnavis, Agniva Chowdhury, Joshua Batson et al.

Incorporating Information into Shapley Values: Reweighting via a Maximum Entropy Approach

Darya Biparva, Donatello Materassi

Optimal Transport of Diverse Unsupervised Tasks for Robust Learning from Noisy Few-Shot Data

Xiaofan Que, Qi Yu

Planning, Fast and Slow: Online Reinforcement Learning with Action-Free Offline Data via Multiscale Planners

Chengjie Wu, Hao Hu, yiqin yang et al.

IGNORE: Information Gap-based False Negative Loss Rejection for Single Positive Multi-Label Learning

Gyeong Ryeol Song, Noo-ri Kim, Jin-Seop Lee et al.

How Learning by Reconstruction Produces Uninformative Features For Perception

Randall Balestriero, Yann LeCun

Distribution Alignment Optimization through Neural Collapse for Long-tailed Classification

Jintong Gao, He Zhao, Dandan Guo et al.

Unsupervised Dense Prediction using Differentiable Normalized Cuts

Yanbin Liu, Stephen Gould

uCAP: An Unsupervised Prompting Method for Vision-Language Models

A. Tuan Nguyen, Kai Sheng Tai, Bor-Chun Chen et al.

Occluded Gait Recognition with Mixture of Experts: An Action Detection Perspective

Panjian Huang, Yunjie Peng, Saihui Hou et al.

Calibration Bottleneck: Over-compressed Representations are Less Calibratable

Deng-Bao Wang, Min-Ling Zhang

Learning Associative Memories with Gradient Descent

Vivien Cabannnes, Berfin Simsek, Alberto Bietti

Efficient Frequency-Domain Image Deraining with Contrastive Regularization

Ning Gao, xingyu jiang, Xiuhui Zhang et al.

Kernel-Based Evaluation of Conditional Biological Sequence Models

Pierre Glaser, Steffan Paul, Alissa M. Hummer et al.

WARM: On the Benefits of Weight Averaged Reward Models

Alexandre Rame, Nino Vieillard, Léonard Hussenot et al.

Position: A Call for Embodied AI

Giuseppe Paolo, Jonas Gonzalez-Billandon, Balázs Kégl

Model-based Reinforcement Learning for Confounded POMDPs

Mao Hong, Zhengling Qi, Yanxun Xu

Vector Quantization Pretraining for EEG Time Series with Random Projection and Phase Alignment

Haokun Gui, Xiucheng Li, Xinyang Chen

Norma: A Noise Robust Memory-Augmented Framework for Whole Slide Image Classification

Yu Bai, Bo Zhang, Zheng Zhang et al.

Relaxing the Accurate Imputation Assumption in Doubly Robust Learning for Debiased Collaborative Filtering

Haoxuan Li, Chunyuan Zheng, Shuyi Wang et al.

Consistent Submodular Maximization

PAUL DUETTING, Federico Fusco, Silvio Lattanzi et al.

Position: Towards Unified Alignment Between Agents, Humans, and Environment

Zonghan Yang, an liu, Zijun Liu et al.

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ImplicitSLIM and How it Improves Embedding-based Collaborative Filtering

Ilya Shenbin, Sergey Nikolenko

Evaluating Instrument Validity using the Principle of Independent Mechanisms

Patrick F. Burauel

Deep Geodesic Canonical Correlation Analysis for Covariance-Based Neuroimaging Data

Ce Ju, Reinmar Kobler, Liyao Tang et al.

Self-Supervised Underwater Caustics Removal and Descattering via Deep Monocular SLAM

Jonathan Sauder, Devis TUIA

DSPy: Compiling Declarative Language Model Calls into State-of-the-Art Pipelines

Omar Khattab, Arnav Singhvi, Paridhi Maheshwari et al.

Causal Subgraphs and Information Bottlenecks: Redefining OOD Robustness in Graph Neural Networks

Weizhi An, Wenliang Zhong, Feng Jiang et al.

Revisiting Domain-Adaptive Object Detection in Adverse Weather by the Generation and Composition of High-Quality Pseudo-Labels

Rui Zhao, Huibin Yan, Shuoyao Wang

Backdoor Defense via Test-Time Detecting and Repairing

Jiyang Guan, Jian Liang, Ran He

Generative Learning for Financial Time Series with Irregular and Scale-Invariant Patterns

Hongbin Huang, Minghua Chen, Xiao Qiao

Towards Unified Representation of Invariant-Specific Features in Missing Modality Face Anti-Spoofing

Guanghao Zheng, Yuchen Liu, Wenrui Dai et al.

RLCD: Reinforcement Learning from Contrastive Distillation for LM Alignment

Kevin Yang, Dan Klein, Asli Celikyilmaz et al.

Selective Nonlinearities Removal from Digital Signals

Krzysztof Maliszewski, Magdalena Urbanska, Varvara Vetrova et al.

On Positivity Condition for Causal Inference

Inwoo Hwang, Yesong Choe, Yeahoon Kwon et al.

Shapefusion: 3D localized human diffusion models

Rolandos Alexandros Potamias, Michael Tarasiou, Stylianos Ploumpis et al.

Continuous SO(3) Equivariant Convolution for 3D Point Cloud Analysis

Jaein Kim, HEE BIN YOO, Dong-Sig Han et al.

DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning

Jing Xiong, Zixuan Li, Chuanyang Zheng et al.

DSA: Discriminative Scatter Analysis for Early Smoke Segmentation

Lujian Yao, Haitao Zhao, Jingchao Peng et al.

The Expressive Power of Path-Based Graph Neural Networks

Caterina Graziani, Tamara Drucks, Fabian Jogl et al.

Learning to Relax: Setting Solver Parameters Across a Sequence of Linear System Instances

Mikhail Khodak, Edmond Chow, Nina Balcan et al.

When and How do negative prompts take effect?

Yuanhao Ban, Ruochen Wang, Tianyi Zhou et al.

Enhanced Motion Forecasting with Visual Relation Reasoning

Sungjune Kim, Hadam Baek, Seunggwan Lee et al.

Effective pruning of web-scale datasets based on complexity of concept clusters

Amro Kamal, Evgenia Rusak, Kushal Tirumala et al.

Grid-Attention: Enhancing Computational Efficiency of Large Vision Models without Fine-Tuning

Pengyu Li, Biao Wang, Tianchu Guo et al.

INViTE: INterpret and Control Vision-Language Models with Text Explanations

Haozhe Chen, Junfeng Yang, Carl Vondrick et al.

On the Humanity of Conversational AI: Evaluating the Psychological Portrayal of LLMs

Jen-tse Huang, Wenxuan Wang, Eric John Li et al.

IVTP: Instruction-guided Visual Token Pruning for Large Vision-Language Models

Kai Huang, Hao Zou, Ye Xi et al.

Practical Hamiltonian Monte Carlo on Riemannian Manifolds via Relativity Theory

Kai Xu, Hong Ge

Rethinking Fast Adversarial Training: A Splitting Technique To Overcome Catastrophic Overfitting

Masoumeh Zareapoor, Pourya Shamsolmoali

KeypointDETR: An End-to-End 3D Keypoint Detector

Hairong Jin, Yuefan Shen, Jianwen Lou et al.

Real-data-driven 2000 FPS Color Video from Mosaicked Chromatic Spikes

Siqi Yang, Zhaojun Huang, Yakun Chang et al.

IAM-VFI : Interpolate Any Motion for Video Frame Interpolation with motion complexity map

Kihwan Yoon, Yong Han Kim, Sungjei Kim et al.

iGraphMix: Input Graph Mixup Method for Node Classification

Jongwon Jeong, Hoyeop Lee, Hyui Geon Yoon et al.

From Coarse to Fine: Enable Comprehensive Graph Self-supervised Learning with Multi-granular Semantic Ensemble

Qianlong Wen, Mingxuan Ju, Zhongyu Ouyang et al.

SEDiff: Structure Extraction for Domain Adaptive Depth Estimation via Denoising Diffusion Models

Dongseok Shim, Hyoun Jin Kim

Sparser, Better, Deeper, Stronger: Improving Static Sparse Training with Exact Orthogonal Initialization

Aleksandra I. Nowak, Łukasz Gniecki, Filip Szatkowski et al.

Safe Exploration in Dose Finding Clinical Trials with Heterogeneous Participants

Isabel Chien, Wessel Bruinsma, Javier Gonzalez et al.

Learning Grounded Action Abstractions from Language

Lio Wong, Jiayuan Mao, Pratyusha Sharma et al.

Hyperbolic Anomaly Detection

Huimin Li, Zhentao Chen, Yunhao Xu et al.

Lost in Translation: Modern Neural Networks Still Struggle With Small Realistic Image Transformations

Ofir Shifman, Yair Weiss

Pseudo-Labelling Should Be Aware of Disguising Channel Activations

Changrui Chen, Kurt Debattista, Jungong Han