Most Cited 2024 "causal perspective" Papers

Vectorized Conditional Neural Fields: A Framework for Solving Time-dependent Parametric Partial Differential Equations

Jan Hagnberger, Marimuthu Kalimuthu, Daniel Musekamp et al.

Contrastive Representation for Data Filtering in Cross-Domain Offline Reinforcement Learning

Xiaoyu Wen, Chenjia Bai, Kang Xu et al.

VVS: Video-to-Video Retrieval with Irrelevant Frame Suppression

Won Jo, Geuntaek Lim, Gwangjin Lee et al.

Short-Long Convolutions Help Hardware-Efficient Linear Attention to Focus on Long Sequences

Zicheng Liu, Siyuan Li, Li Wang et al.

Geometry-Guided Domain Generalization for Monocular 3D Object Detection

Fan Yang, Hui Chen, Yuwei He et al.

CRoFT: Robust Fine-Tuning with Concurrent Optimization for OOD Generalization and Open-Set OOD Detection

Lin Zhu, Yifeng Yang, Qinying Gu et al.

Hiding Imperceptible Noise in Curvature-Aware Patches for 3D Point Cloud Attack

Mingyu Yang, Daizong Liu, Keke Tang et al.

Accelerating Sinkhorn algorithm with sparse Newton iterations

Xun Tang, Michael Shavlovsky, Holakou Rahmanian et al.

Few-Shot Neural Radiance Fields under Unconstrained Illumination

SeokYeong Lee, JunYong Choi, Seungryong Kim et al.

More Flexible PAC-Bayesian Meta-Learning by Learning Learning Algorithms

Hossein Zakerinia, Amin Behjati, Christoph Lampert

Part2Object: Hierarchical Unsupervised 3D Instance Segmentation

cheng Shi, Yulin zhang, Bin Yang et al.

Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model

Mikail Khona, Maya Okawa, Jan Hula et al.

Continuous Optical Zooming: A Benchmark for Arbitrary-Scale Image Super-Resolution in Real World

Huiyuan Fu, Fei Peng, Xianwei Li et al.

Efficient Planning with Latent Diffusion

Wenhao Li

On the Calibration of Human Pose Estimation

Kerui Gu, Rongyu Chen, Xuanlong Yu et al.

De-biased Attention Supervision for Text Classification with Causality

Yiquan Wu, Yifei Liu, Ziyu Zhao et al.

Domain-Inspired Sharpness-Aware Minimization Under Domain Shifts

Ruipeng Zhang, Ziqing Fan, Jiangchao Yao et al.

Learning to Make Keypoints Sub-Pixel Accurate

Shinjeong Kim, Marc Pollefeys, Daniel Barath

Global-Local Collaborative Inference with LLM for Lidar-Based Open-Vocabulary Detection

Xingyu Peng, Yan Bai, Chen Gao et al.

Removing Biases from Molecular Representations via Information Maximization

Chenyu Wang, Sharut Gupta, Caroline Uhler et al.

2043 Improved MLP Point Cloud Processing with High-Dimensional Positional Encoding

Yanmei Zou, Hongshan Yu, Zhengeng Yang et al.

CoSIGN: Few-Step Guidance of ConSIstency Model to Solve General INverse Problems

Jiankun Zhao, Bowen Song, Liyue Shen

Backpropagation-free Network for 3D Test-time Adaptation

YANSHUO WANG, Ali Cheraghian, Zeeshan Hayder et al.

Multi-Person Pose Forecasting with Individual Interaction Perceptron and Prior Learning

Peng Xiao, Yi Xie, Xuemiao Xu et al.

The Role of Learning Algorithms in Collective Action

Omri Ben-Dov, Jake Fawkes, Samira Samadi et al.

Towards Fairness-Aware Adversarial Learning

Yanghao Zhang, Tianle Zhang, Ronghui Mu et al.

Self-Training Based Few-Shot Node Classification by Knowledge Distillation

Zongqian Wu, Yujie Mo, Peng Zhou et al.

Ungeneralizable Examples

Jingwen Ye, Xinchao Wang

Debiased Novel Category Discovering and Localization

Juexiao Feng, Yuhong Yang, Yanchun Xie et al.

Towards More Practical Group Activity Detection: A New Benchmark and Model

Dongkeun Kim, Youngkil Song, Minsu Cho et al.

Parsing All Adverse Scenes: Severity-Aware Semantic Segmentation with Mask-Enhanced Cross-Domain Consistency

Fuhao Li, Ziyang Gong, Yupeng Deng et al.

Benign Overfitting in Two-Layer ReLU Convolutional Neural Networks for XOR Data

Xuran Meng, Difan Zou, Yuan Cao

Algorithms for Caching and MTS with reduced number of predictions

Karim Ahmed Abdel Sadek, Marek Elias

Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice

Idan Lev-Yehudi, Moran Barenboim, Vadim Indelman

Instance-Aware Multi-Camera 3D Object Detection with Structural Priors Mining and Self-Boosting Learning

Yang Jiao, Zequn Jie, Shaoxiang Chen et al.

Mixture of Weak and Strong Experts on Graphs

Hanqing Zeng, Hanjia Lyu, Diyi Hu et al.

Uncertainty-aware sign language video retrieval with probability distribution modeling

Xuan Wu, Hongxiang Li, yuanjiang luo et al.

SC-NeuS: Consistent Neural Surface Reconstruction from Sparse and Noisy Views

Shi-Sheng Huang, Zixin Zou, Yichi Zhang et al.

Collaborative Synthesis of Patient Records through Multi-Visit Health State Inference

Hongda Sun, Hongzhan Lin, Rui Yan

AnimateMe: 4D Facial Expressions via Diffusion Models

Dimitrios Gerogiannis, Foivos Paraperas Papantoniou, Rolandos Alexandros Potamias et al.

Noisy Interpolation Learning with Shallow Univariate ReLU Networks

Nirmit Joshi, Gal Vardi, Nathan Srebro

patchDPCC: A Patchwise Deep Compression Framework for Dynamic Point Clouds

Authors: Zirui Pan, Mengbai Xiao, Xu Han et al.

The Marginal Value of Momentum for Small Learning Rate SGD

Runzhe Wang, Sadhika Malladi, Tianhao Wang et al.

RG-GAN: Dynamic Regenerative Pruning for Data-Efficient Generative Adversarial Networks

Divya Saxena, Jiannong Cao, Jiahao Xu et al.

Improving Visual Recognition with Hyperbolical Visual Hierarchy Mapping

Hyeongjun Kwon, Jinhyun Jang, Jin Kim et al.

B-spine: Learning B-spline Curve Representation for Robust and Interpretable Spinal Curvature Estimation

Hao Wang, Qiang Song, Ruofeng Yin et al.

Curved Diffusion: A Generative Model With Optical Geometry Control

Andrey Voynov, Amir Hertz, Moab Arar et al.

CanonicalFusion: Generating Drivable 3D Human Avatars from Multiple Images

Jisu Shin, Junmyeong Lee, Seongmin Lee et al.

How to Use the Metropolis Algorithm for Multi-Objective Optimization?

Weijie Zheng, Mingfeng Li, Renzhong Deng et al.

PARSAC: Accelerating Robust Multi-Model Fitting with Parallel Sample Consensus

Florian Kluger, Bodo Rosenhahn

Towards Optimal Subsidy Bounds for Envy-Freeable Allocations

Yasushi Kawase, Kazuhisa Makino, Hanna Sumita et al.

Temporal-Mapping Photography for Event Cameras

Yuhan Bao, Lei Sun, Yuqin Ma et al.

AirPlanes: Accurate Plane Estimation via 3D-Consistent Embeddings

Jamie Watson, Filippo Aleotti, Mohamed Sayed et al.

Learning Deformable Hypothesis Sampling for Accurate PatchMatch Multi-View Stereo

Hongjie Li, Yao Guo, Xianwei Zheng et al.

Non-clairvoyant Scheduling with Partial Predictions

Ziyad Benomar, Vianney Perchet

Relaxing the Additivity Constraints in Decentralized No-Regret High-Dimensional Bayesian Optimization

Anthony Bardou, Patrick Thiran, Thomas Begin

How Uniform Random Weights Induce Non-uniform Bias: Typical Interpolating Neural Networks Generalize with Narrow Teachers

Gon Buzaglo, Itamar Harel, Mor Shpigel Nacson et al.

Layer-Wise Relevance Propagation with Conservation Property for ResNet

Seitaro Otsuki, Tsumugi Iida, Félix Doublet et al.

Training Bayesian Neural Networks with Sparse Subspace Variational Inference

Junbo Li, Zichen Miao, Qiang Qiu et al.

Zero-Painter: Training-Free Layout Control for Text-to-Image Synthesis

Marianna Ohanyan, Hayk Manukyan, Zhangyang Wang et al.

DNI: Dilutional Noise Initialization for Diffusion Video Editing

Sunjae Yoon, Gwanhyeong Koo, Ji Woo Hong et al.

Individual Contributions as Intrinsic Exploration Scaffolds for Multi-agent Reinforcement Learning

Xinran Li, Zifan LIU, Shibo Chen et al.

Multi-View Dynamic Reflection Prior for Video Glass Surface Detection

Fang Liu, Yuhao Liu, Jiaying Lin et al.

Demystifying Poisoning Backdoor Attacks from a Statistical Perspective

Ganghua Wang, Xun Xian, Ashish Kundu et al.

Out-of-Distribution Detection by Leveraging Between-Layer Transformation Smoothness

Fran Jelenić, Josip Jukić, Martin Tutek et al.

Detection and Defense of Unlearnable Examples

Yifan Zhu, lijia Yu, Xiao-Shan Gao

Self-Adapting Large Visual-Language Models to Edge Devices across Visual Modalities

Kaiwen Cai, ZheKai Duan, Gaowen Liu et al.

Coupling Graph Neural Networks with Fractional Order Continuous Dynamics: A Robustness Study

Qiyu Kang, Kai Zhao, Yang Song et al.

Replay across Experiments: A Natural Extension of Off-Policy RL

Dhruva Tirumala, Thomas Lampe, Jose Enrique Chen et al.

Smart Help: Strategic Opponent Modeling for Proactive and Adaptive Robot Assistance in Households

Zhihao Cao, ZiDong Wang, Siwen Xie et al.

RepVF: A Unified Vector Fields Representation for Multi-task 3D Perception

Shen Jianbing, Chunliang Li, Wencheng Han et al.

Incremental Randomized Smoothing Certification

Shubham Dipak Ugare, Tarun Suresh, Debangshu Banerjee et al.

Be Your Own Neighborhood: Detecting Adversarial Examples by the Neighborhood Relations Built on Self-Supervised Learning

Zhiyuan He, Yijun Yang, Pin-Yu Chen et al.

PELA: Learning Parameter-Efficient Models with Low-Rank Approximation

Yangyang Guo, Guangzhi Wang, Mohan Kankanhalli

Vanishing-Point-Guided Video Semantic Segmentation of Driving Scenes

Diandian Guo, Deng-Ping Fan, Tongyu Lu et al.

Interpretable Meta-Learning of Physical Systems

Matthieu Blanke, marc lelarge

Massively Scalable Inverse Reinforcement Learning in Google Maps

Matt Barnes, Matthew Abueg, Oliver Lange et al.

Rasterized Edge Gradients: Handling Discontinuities Differentially

Stanislav Pidhorskyi, Tomas Simon, Gabriel Schwartz et al.

Sampling Multimodal Distributions with the Vanilla Score: Benefits of Data-Based Initialization

Frederic Koehler, Thuy-Duong Vuong

Improving Open Set Recognition via Visual Prompts Distilled from Common-Sense Knowledge

Seong-Tae Kim, Hyungil Kim, Y. Ro

Representation Deficiency in Masked Language Modeling

Yu Meng, Jitin Krishnan, Sinong Wang et al.

VQA-Diff: Exploiting VQA and Diffusion for Zero-Shot Image-to-3D Vehicle Asset Generation in Autonomous Driving

Yibo Liu, Zheyuan Yang, Guile Wu et al.

Recursive Visual Programming

Jiaxin Ge, Sanjay Subramanian, Baifeng Shi et al.

DynSyn: Dynamical Synergistic Representation for Efficient Learning and Control in Overactuated Embodied Systems

Kaibo He, Chenhui Zuo, Chengtian Ma et al.

Discovering Mixtures of Structural Causal Models from Time Series Data

Sumanth Varambally, Yian Ma, Rose Yu

Leveraging Thermal Modality to Enhance Reconstruction in Low-Light Conditions

Jiacong Xu, Mingqian Liao, Ram Prabhakar Kathirvel et al.

FightLadder: A Benchmark for Competitive Multi-Agent Reinforcement Learning

Wenzhe Li, Zihan Ding, Seth Karten et al.

Unrolled Decomposed Unpaired Learning for Controllable Low-Light Video Enhancement

Lingyu Zhu, Wenhan Yang, Baoliang Chen et al.

Combinatorial Stochastic-Greedy Bandit

Fares Fourati, Christopher John Quinn, Mohamed-Slim Alouini et al.

VLN-Video: Utilizing Driving Videos for Outdoor Vision-and-Language Navigation

Jialu Li, Aishwarya Padmakumar, Gaurav Sukhatme et al.

Benchmarking Implicit Neural Representation and Geometric Rendering in Real-Time RGB-D SLAM

Tongyan Hua, Addison, Lin Wang

Compose and Conquer: Diffusion-Based 3D Depth Aware Composable Image Synthesis

Jonghyun Lee, Hansam Cho, YoungJoon Yoo et al.

Efficient Pareto Manifold Learning with Low-Rank Structure

Weiyu CHEN, James Kwok

Federated Wasserstein Distance

alain rakotomamonjy, Kimia Nadjahi, Liva Ralaivola

Language-driven Object Fusion into Neural Radiance Fields with Pose-Conditioned Dataset Updates

Ka Chun SHUM, Jaeyeon Kim, Binh-Son Hua et al.

AFF-ttention! Affordances and Attention models for Short-Term Object Interaction Anticipation

Lorenzo Mur Labadia, Ruben Martinez-Cantin, Jose J Guerrero et al.

Exact ASP Counting with Compact Encodings

Mohimenul Kabir, Supratik Chakraborty, Kuldeep S Meel

Improving equilibrium propagation without weight symmetry through Jacobian homeostasis

Axel Laborieux, Friedemann Zenke

Libra: Building Decoupled Vision System on Large Language Models

Yifan Xu, Xiaoshan Yang, Yaguang Song et al.

SineNet: Learning Temporal Dynamics in Time-Dependent Partial Differential Equations

Xuan Zhang, Jacob Helwig, Yuchao Lin et al.

Arbitrary-Scale Point Cloud Upsampling by Voxel-Based Network with Latent Geometric-Consistent Learning

Hang Du, Xuejun Yan, Jingjing Wang et al.

SIRA: Scalable Inter-frame Relation and Association for Radar Perception

Ryoma Yataka, Pu Wang, Petros Boufounos et al.

Integrating Efficient Optimal Transport and Functional Maps For Unsupervised Shape Correspondence Learning

Tung Le, Khai Nguyen, Shanlin Sun et al.

Instruction Tuning-free Visual Token Complement for Multimodal LLMs

Dongsheng Wang, Jiequan Cui, Miaoge Li et al.

Task structure and nonlinearity jointly determine learned representational geometry

Matteo Alleman, Jack Lindsey, Stefano Fusi

Efficient Privacy-Preserving Visual Localization Using 3D Ray Clouds

Heejoon Moon, Chunghwan Lee, Je Hyeong Hong

Generating Physically Realistic and Directable Human Motions from Multi-Modal Inputs

Aayam Shrestha, Pan Liu, German Ros et al.

A Theory of Joint Light and Heat Transport for Lambertian Scenes

Mani Ramanagopal, Sriram Narayanan, Aswin C. Sankaranarayanan et al.

Solving High Frequency and Multi-Scale PDEs with Gaussian Processes

Shikai Fang, Madison Cooley, Da Long et al.

Spectrum AUC Difference (SAUCD): Human-aligned 3D Shape Evaluation

Tianyu Luan, Zhong Li, Lele Chen et al.

PARCv2: Physics-aware Recurrent Convolutional Neural Networks for Spatiotemporal Dynamics Modeling

Phong Nguyen, Xinlun Cheng, Shahab Azarfar et al.

Domain constraints improve risk prediction when outcome data is missing

Sidhika Balachandar, Nikhil Garg, Emma Pierson

Revealing the Dark Secrets of Extremely Large Kernel ConvNets on Robustness

Honghao Chen, Zhang Yurong, xiaokun Feng et al.

Self-supervised visual learning from interactions with objects

Arthur Aubret, Céline Teulière, Jochen Triesch

GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation

Abhinav Jain, Vaibhav Unhelkar

JointDreamer: Ensuring Geometry Consistency and Text Congruence in Text-to-3D Generation via Joint Score Distillation

ChenHan Jiang, Yihan Zeng, Tianyang Hu et al.

PNeRV: Enhancing Spatial Consistency via Pyramidal Neural Representation for Videos

Qi Zhao, M. Salman Asif, Zhan Ma

Learning Over Molecular Conformer Ensembles: Datasets and Benchmarks

Yanqiao Zhu, Jeehyun Hwang, Keir Adams et al.

Semi-supervised 3D Object Detection with PatchTeacher and PillarMix

Xiaopei Wu, Liang Peng, Liang Xie et al.

Open Vocabulary 3D Scene Understanding via Geometry Guided Self-Distillation

Pengfei Wang, Yuxi Wang, Shuai Li et al.

BadPart: Unified Black-box Adversarial Patch Attacks against Pixel-wise Regression Tasks

Zhiyuan Cheng, Zhaoyi Liu, Tengda Guo et al.

OctOcc: High-Resolution 3D Occupancy Prediction with Octree

Wenzhe Ouyang, Xiaolin Song, Bailan Feng et al.

Tandem Transformers for Inference Efficient LLMs

Aishwarya P S, Pranav Nair, Yashas Samaga et al.

A Geometric Decomposition of Finite Games: Convergence vs. Recurrence under Exponential Weights

Davide Legacci, Panayotis Mertikopoulos, Bary Pradelski

Weisfeiler Leman for Euclidean Equivariant Machine Learning

Snir Hordan, Tal Amir, Nadav Dym

Scalable Real-Time Recurrent Learning Using Columnar-Constructive Networks

Khurram Javed, Haseeb Shah, Richard Sutton et al.

Private Heterogeneous Federated Learning Without a Trusted Server Revisited: Error-Optimal and Communication-Efficient Algorithms for Convex Losses

Changyu Gao, Andrew Lowy, Xingyu Zhou et al.

Position: An Inner Interpretability Framework for AI Inspired by Lessons from Cognitive Neuroscience

Martina G. Vilas, Federico Adolfi, David Poeppel et al.

Multiplicative Weights Update, Area Convexity and Random Coordinate Descent for Densest Subgraph Problems

Ta Duy Nguyen, Alina Ene

Meta-Learners for Partially-Identified Treatment Effects Across Multiple Environments

Jonas Schweisthal, Dennis Frauen, M van der Schaar et al.

Quantum Positional Encodings for Graph Neural Networks

Slimane Thabet, Mehdi Djellabi, Igor Sokolov et al.

Learning to Predict Mutational Effects of Protein-Protein Interactions by Microenvironment-aware Hierarchical Prompt Learning

Lirong Wu, Yijun Tian, Haitao Lin et al.

Helpful or Harmful Data? Fine-tuning-free Shapley Attribution for Explaining Language Model Predictions

Jingtan Wang, Xiaoqiang Lin, Rui Qiao et al.

CuTS: Customizable Tabular Synthetic Data Generation

Mark Vero, Mislav Balunovic, Martin Vechev

Bounded and Uniform Energy-based Out-of-distribution Detection for Graphs

Shenzhi Yang, Bin Liang, An Liu et al.

COALA: A Practical and Vision-Centric Federated Learning Platform

Weiming Zhuang, Jian Xu, Chen Chen et al.

Solving Poisson Equations using Neural Walk-on-Spheres

Hong Chul Nam, Julius Berner, Anima Anandkumar

Non-Asymptotic Analysis for Single-Loop (Natural) Actor-Critic with Compatible Function Approximation

Yudan Wang, Yue Wang, Yi Zhou et al.

Surprisingly Strong Performance Prediction with Neural Graph Features

Gabriela Kadlecová, Jovita Lukasik, Martin Pilát et al.

Disguised Copyright Infringement of Latent Diffusion Models

Yiwei Lu, Matthew Yang, Zuoqiu Liu et al.

Counterfactual Reasoning for Multi-Label Image Classification via Patching-Based Training

Ming-Kun Xie, Jia-Hao Xiao, Pei Peng et al.

AD3: Implicit Action is the Key for World Models to Distinguish the Diverse Visual Distractors

Yucen Wang, Shenghua Wan, Le Gan et al.

Leveraging VLM-Based Pipelines to Annotate 3D Objects

Rishabh Kabra, Loic Matthey, Alexander Lerchner et al.

Sharp Rates in Dependent Learning Theory: Avoiding Sample Size Deflation for the Square Loss

Ingvar Ziemann, Stephen Tu, George Pappas et al.

Bring Your Own (Non-Robust) Algorithm to Solve Robust MDPs by Estimating The Worst Kernel

Uri Gadot, Kaixin Wang, Navdeep Kumar et al.

Differentially Private Post-Processing for Fair Regression

Ruicheng Xian, Qiaobo Li, Gautam Kamath et al.

Causal Discovery with Fewer Conditional Independence Tests

Kirankumar Shiragur, Jiaqi Zhang, Caroline Uhler

PhAST: Physics-Aware, Scalable, and Task-Specific GNNs for Accelerated Catalyst Design

Alexandre Duval, Victor Schmidt, Santiago Miret et al.

Differentially Private Decentralized Learning with Random Walks

Edwige Cyffers, Aurélien Bellet, Jalaj Upadhyay

${\rm E}(3)$-Equivariant Actor-Critic Methods for Cooperative Multi-Agent Reinforcement Learning

Dingyang Chen, Qi Zhang

ArtWhisperer: A Dataset for Characterizing Human-AI Interactions in Artistic Creations

Kailas Vodrahalli, James Zou

CKGConv: General Graph Convolution with Continuous Kernels

Liheng Ma, Soumyasundar Pal, Yitian Zhang et al.

Federated Offline Reinforcement Learning: Collaborative Single-Policy Coverage Suffices

Jiin Woo, Laixi Shi, Gauri Joshi et al.

Operator SVD with Neural Networks via Nested Low-Rank Approximation

Jongha (Jon) Ryu, Xiangxiang Xu, Hasan Sabri Melihcan Erol et al.

Layerwise Proximal Replay: A Proximal Point Method for Online Continual Learning

Jinsoo Yoo, Yunpeng Liu, Frank Wood et al.

Selective Mixup Helps with Distribution Shifts, But Not (Only) because of Mixup

Damien Teney, Jindong Wang, Ehsan Abbasnejad

Rate-Optimal Policy Optimization for Linear Markov Decision Processes

Uri Sherman, Alon Cohen, Tomer Koren et al.

PEARL: Zero-shot Cross-task Preference Alignment and Robust Reward Learning for Robotic Manipulation

Runze Liu, Yali Du, Fengshuo Bai et al.

Model-Based Minimum Bayes Risk Decoding for Text Generation

Yuu Jinnai, Tetsuro Morimura, Ukyo Honda et al.

ETHER: Efficient Finetuning of Large-Scale Models with Hyperplane Reflections

Massimo Bini, Karsten Roth, Zeynep Akata et al.

Stochastic Q-learning for Large Discrete Action Spaces

Fares Fourati, Vaneet Aggarwal, Mohamed-Slim Alouini

Hierarchical Neural Operator Transformer with Learnable Frequency-aware Loss Prior for Arbitrary-scale Super-resolution

Xihaier Luo, Xiaoning Qian, Byung-Jun Yoon

Modular Learning of Deep Causal Generative Models for High-dimensional Causal Inference

Md Musfiqur Rahman, Murat Kocaoglu

BWS: Best Window Selection Based on Sample Scores for Data Pruning across Broad Ranges

Hoyong Choi, Nohyun Ki, Hye Won Chung

Probabilistic Conceptual Explainers: Trustworthy Conceptual Explanations for Vision Foundation Models

Hengyi Wang, Shiwei Tan, Hao Wang

Density-Softmax: Efficient Test-time Model for Uncertainty Estimation and Robustness under Distribution Shifts

Ha Manh Bui, Anqi Liu

A New Robust Partial p-Wasserstein-Based Metric for Comparing Distributions

Sharath Raghvendra, Pouyan Shirzadian, Kaiyi Zhang

Robust Communicative Multi-Agent Reinforcement Learning with Active Defense

Lebin Yu, Yunbo Qiu, Quanming Yao et al.

Motion Diversification Networks

Hee Jae Kim, Eshed Ohn-Bar

GLDL: Graph Label Distribution Learning

Yufei Jin, Richard Gao, Yi He et al.

Residual Hyperbolic Graph Convolution Networks

Yangkai Xue, Jindou Dai, Zhipeng Lu et al.

Hierarchical Topology Isomorphism Expertise Embedded Graph Contrastive Learning

Jiangmeng Li, Yifan Jin, Hang Gao et al.

VIXEN: Visual Text Comparison Network for Image Difference Captioning

Alexander Black, Jing Shi, Yifei Fan et al.

Unsupervised Group Re-identification via Adaptive Clustering-Driven Progressive Learning

Hongxu Chen, Quan Zhang, Jian-Huang Lai et al.

One at a Time: Progressive Multi-Step Volumetric Probability Learning for Reliable 3D Scene Perception

Bohan Li, Yasheng Sun, Jingxin Dong et al.

DeepCalliFont: Few-Shot Chinese Calligraphy Font Synthesis by Integrating Dual-Modality Generative Models

Yitian Liu, Zhouhui Lian

Event-based Structure-from-Orbit

Ethan Elms, Yasir Latif, Tae Ha Park et al.

DualDn: Dual-domain Denoising via Differentiable ISP

Ruikang Li, Yujin Wang, Shiqi Chen et al.

Zero-Shot Continuous Prompt Transfer: Generalizing Task Semantics Across Language Models

Zijun Wu, Yongkang Wu, Lili Mou

Context Enhanced Transformer for Single Image Object Detection in Video Data

Seungjun An, Seonghoon Park, Gyeongnyeon Kim et al.

DreamSalon: A Staged Diffusion Framework for Preserving Identity-Context in Editable Face Generation

Haonan Lin

HEAP: Unsupervised Object Discovery and Localization with Contrastive Grouping

Taming Lookup Tables for Efficient Image Retouching

Sidi Yang, Binxiao Huang, Mingdeng Cao et al.

Meta-Point Learning and Refining for Category-Agnostic Pose Estimation

Junjie Chen, Jiebin Yan, Yuming Fang et al.

Link Prediction in Multilayer Networks via Cross-Network Embedding

Guojing Ren, Xiao Ding, Xiao-Ke Xu et al.

Improving Expressive Power of Spectral Graph Neural Networks with Eigenvalue Correction

Kangkang Lu, Yanhua Yu, Hao Fei et al.

Adaptive Window Pruning for Efficient Local Motion Deblurring

Haoying Li, Jixin Zhao, Shangchen Zhou et al.

Point Deformable Network with Enhanced Normal Embedding for Point Cloud Analysis

Xingyilang Yin, Xi Yang, Liangchen Liu et al.

Neural Super-Resolution for Real-time Rendering with Radiance Demodulation

Jia Li, Ziling Chen, Xiaolong Wu et al.

Learning High-Frequency Functions Made Easy with Sinusoidal Positional Encoding

Chuanhao Sun, Zhihang Yuan, Kai Xu et al.

Roll with the Punches: Expansion and Shrinkage of Soft Label Selection for Semi-supervised Fine-Grained Learning

Yue Duan, Zhen Zhao, Lei Qi et al.

ProxyCap: Real-time Monocular Full-body Capture in World Space via Human-Centric Proxy-to-Motion Learning

Yuxiang Zhang, Hongwen Zhang, Liangxiao Hu et al.

Comprehensive View Embedding Learning for Single-Cell Multimodal Integration

Zhenchao Tang, Jiehui Huang, Guanxing Chen et al.

A Multimodal, Multi-Task Adapting Framework for Video Action Recognition

Mengmeng Wang, Jiazheng Xing, Boyuan Jiang et al.

ZOOM: Learning Video Mirror Detection with Extremely-Weak Supervision

Ke Xu, Tsun Wai Siu, Rynson W.H. Lau

Factorized Diffusion Autoencoder for Unsupervised Disentangled Representation Learning

Ancong Wu, Wei-shi Zheng

CDFormer: When Degradation Prediction Embraces Diffusion Model for Blind Image Super-Resolution

Qingguo Liu, Chenyi Zhuang, Pan Gao et al.

On Accelerating Diffusion-Based Sampling Processes via Improved Integration Approximation

Guoqiang Zhang, Kenta Niwa, W. Bastiaan Kleijn

Solving Masked Jigsaw Puzzles with Diffusion Vision Transformers

Jinyang Liu, Wondmgezahu Teshome, Sandesh Ghimire et al.

FrePolad: Frequency-Rectified Point Latent Diffusion for Point Cloud Generation

Chenliang Zhou, Fangcheng Zhong, Param Hanji et al.