Most Cited AAAI "activation gradient analysis" Papers

FaceRSA: RSA-Aware Facial Identity Cryptography Framework

Zhongyi Zhang, Tianyi Wei, Wenbo Zhou et al.

Probability-Polarized Optimal Transport for Unsupervised Domain Adaptation

Yan Wang, Chuan-Xian Ren, Yi-Ming Zhai et al.

Constrained Generative Modeling with Manually Bridged Diffusion Models

Saeid Naderiparizi, Xiaoxuan Liang, Berend Zwartsenberg et al.

Complexity of Credulous and Skeptical Acceptance in Epistemic Argumentation Framework

Gianvincenzo Alfano, Sergio Greco, Francesco Parisi et al.

HeGTa: Leveraging Heterogeneous Graph-enhanced Large Language Models for Few-shot Complex Table Understanding

Rihui Jin, Yu Li, Guilin Qi et al.

Aligning Language Models Using Follow-up Likelihood as Reward Signal

Chen Zhang, Dading Chong, Feng Jiang et al.

Neighborhood-Enhanced 3D Human Pose Estimation with Monocular LiDAR in Long-Range Outdoor Scenes

Jingyi Zhang, Qihong Mao, Guosheng Hu et al.

RadarMOSEVE: A Spatial-Temporal Transformer Network for Radar-Only Moving Object Segmentation and Ego-Velocity Estimation

Changsong Pang, Xieyuanli Chen, Yimin Liu et al.

SemTra: A Semantic Skill Translator for Cross-Domain Zero-Shot Policy Adaptation

Sangwoo Shin, Minjong Yoo, Jeongwoo Lee et al.

LNS2+RL: Combining Multi-agent Reinforcement Learning with Large Neighborhood Search in Multi-agent Path Finding

Yutong Wang, Tanishq Duhan, Jiaoyang Li et al.

ProtoArgNet: Interpretable Image Classification with Super-Prototypes and Argumentation

Hamed Ayoobi, Nico Potyka, Francesca Toni

Existence Is Chaos: Enhancing 3D Human Motion Prediction with Uncertainty Consideration

Zhihao Wang, Yulin Zhou, Ningyu Zhang et al.

LS-TGNN: Long and Short-Term Temporal Graph Neural Network for Session-Based Recommendation

Zhonghong Ou, Xiao Zhang, Yifan Zhu et al.

Pamba: Enhancing Global Interaction in Point Clouds via State Space Model

Zhuoyuan Li, Yubo Ai, Jiahao Lu et al.

Zero-resource Hallucination Detection for Text Generation via Graph-based Contextual Knowledge Triples Modeling

Xinyue Fang, Zhen Huang, Zhiliang Tian et al.

Multi-View People Detection in Large Scenes via Supervised View-Wise Contribution Weighting

Qi ZHANG, Yunfei Gong, Daijie Chen et al.

UVAGaze: Unsupervised 1-to-2 Views Adaptation for Gaze Estimation

Ruicong Liu, Feng Lu

A Robust Prototype-Based Network with Interpretable RBF Classifier Foundations

Sascha Saralajew, Ashish Rana, Thomas Villmann et al.

RRL: Recommendation Reverse Learning

Xiaoyu You, Jianwei Xu, Mi Zhang et al.

Neural Time

Reversed Generalized Riccati Equation

DiffRetouch: Using Diffusion to Retouch on the Shoulder of Experts

Zheng-Peng Duan, Jiawei Zhang, Zheng Lin et al.

Planning from Imagination: Episodic Simulation and Episodic Memory for Vision-and-Language Navigation

Yiyuan Pan, Yunzhe Xu, Zhe Liu et al.

Generating Counterfactual Explanations Under Temporal Constraints

Andrei Buliga, Chiara Di Francescomarino, Chiara Ghidini et al.

On Corruption-Robustness in Performative Reinforcement Learning

Vasilis Pollatos, Debmalya Mandal, Goran Radanovic

CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting

Haoxin Wang, Yipeng Mo, Kunlan Xiang et al.

Unsupervised Object Interaction Learning with Counterfactual Dynamics Models

Jongwook Choi, Sungtae Lee, Xinyu Wang et al.

DOGE-Train: Discrete Optimization on GPU with End-to-End Training

Ahmed Abbas, P. Swoboda

Entropy Induced Pruning Framework for Convolutional Neural Networks

Yiheng Lu, Ziyu Guan, Yaming Yang et al.

Braess’s Paradox of Generative AI

Boaz Taitler, Omer Ben-Porat

ALLVB: All-in-One Long Video Understanding Benchmark

Xichen Tan, Yuanjing Luo, Yunfan Ye et al.

ZeroHAR: Sensor Context Augments Zero-Shot Wearable Action Recognition

Ranak Roy Chowdhury, Ritvik Kapila, Ameya Panse et al.

FairWASP: Fast and Optimal Fair Wasserstein Pre-processing

Zikai Xiong, Niccolo Dalmasso, Alan Mishler et al.

Adversarially Balanced Representation for Continuous Treatment Effect Estimation

Amirreza Kazemi, Martin Ester

External Reliable Information-enhanced Multimodal Contrastive Learning for Fake News Detection

Biwei Cao, Qihang Wu, Jiuxin Cao et al.

Undermining Mental Proof: How AI Can Make Cooperation Harder by Making Thinking Easier

Zachary Wojtowicz, Simon DeDeo

DSD$^2$: Can We Dodge Sparse Double Descent and Compress the Neural Network Worry-Free?

Victor Quetu, Enzo Tartaglione

Multi-Reference Preference Optimization for Large Language Models

Hung Le, Quan Hung Tran, Dung Nguyen et al.

Are Expressive Models Truly Necessary for Offline RL?

Guan Wang, Haoyi Niu, Jianxiong Li et al.

Prompt-based Unifying Inference Attack on Graph Neural Networks

Yuecen Wei, Xingcheng Fu, Lingyun Liu et al.

Bridging Molecular Graphs and Large Language Models

Runze Wang, Mingqi Yang, Yanming Shen

Q-MAML: Quantum Model-Agnostic Meta-Learning for Variational Quantum Algorithms

Junyong Lee, Jeihee Cho, Shiho Kim

Bi-Directional Multi-Scale Graph Dataset Condensation via Information Bottleneck

Xingcheng Fu, Yisen Gao, Beining Yang et al.

MLC-NC: Long-Tailed Multi-Label Image Classification Through the Lens of Neural Collapse

Zijian Tao, Shao-Yuan Li, Wenhai Wan et al.

Boosting ViT-based MRI Reconstruction from the Perspectives of Frequency Modulation, Spatial Purification, and Scale Diversification

Yucong Meng, Zhiwei Yang, Yonghong Shi et al.

Bridging Training and Execution via Dynamic Directed Graph-Based Communication in Cooperative Multi-Agent Systems

Zhuohui Zhang, Bin He, Bin Cheng et al.

Information Design for Congestion Games with Unknown Demand

Svenja M. Griesbach, Martin Hoefer, Max Klimm et al.

EOV-Seg: Efficient Open-Vocabulary Panoptic Segmentation

Hongwei Niu, Jie Hu, Jianghang Lin et al.

StoryWeaver: A Unified World Model for Knowledge-Enhanced Story Character Customization

Jinlu Zhang, Jiji Tang, Rongsheng Zhang et al.

TREE-G: Decision Trees Contesting Graph Neural Networks

Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach

Component Fourier Neural Operator for Singularly Perturbed Differential Equations

Ye Li, Ting Du, Yiwen Pang et al.

AugRefer: Advancing 3D Visual Grounding via Cross-Modal Augmentation and Spatial Relation-based Referring

Xinyi Wang, Na Zhao, Zhiyuan Han et al.

Spatial Voting with Incomplete Voter Information

Aviram Imber, Jonas Israel, Markus Brill et al.

GINN-LP: A Growing Interpretable Neural Network for Discovering Multivariate Laurent Polynomial Equations

Nisal Ranasinghe, Damith Senanayake, Sachith Seneviratne et al.

Improving Generalization of Universal Adversarial Perturbation via Dynamic Maximin Optimization

Yechao Zhang, Yingzhe Xu, Junyu Shi et al.

Task-level Distributionally Robust Optimization for Large Language Model-based Dense Retrieval

Guangyuan Ma, Yongliang Ma, Xing Wu et al.

Advancing Video Synchronization with Fractional Frame Analysis: Introducing a Novel Dataset and Model

Yuxuan Liu, Haizhou Ai, Junliang Xing et al.

Multifaceted User Modeling in Recommendation: A Federated Foundation Models Approach

Chunxu Zhang, Guodong Long, Hongkuan Guo et al.

Simulate and Eliminate: Revoke Backdoors for Generative Large Language Models

Haoran Li, Yulin Chen, Zihao Zheng et al.

Multi-modal and Multi-scale Spatial Environment Understanding for Immersive Visual Text-to-Speech

Rui Liu, Shuwei He, Yifan Hu et al.

Thompson Sampling for Real-Valued Combinatorial Pure Exploration of Multi-Armed Bandit

Shintaro Nakamura, Masashi Sugiyama

Federated Unsupervised Domain Generalization Using Global and Local Alignment of Gradients

Farhad Pourpanah, Mahdiyar Molahasani, Milad Soltany et al.

Attribution Analysis Meets Model Editing: Advancing Knowledge Correction in Vision Language Models with VisEdit

Qizhou Chen, Taolin Zhang, Chengyu Wang et al.

LDP: Generalizing to Multilingual Visual Information Extraction by Language Decoupled Pretraining

Huawen Shen, Gengluo Li, Jinwen Zhong et al.

Learning Ultrametric Trees for Optimal Transport Regression

Automatically Generating Numerous Context-Driven SFT Data for LLMs Across Diverse Granularity

Shanghaoran Quan

Attacking Transformers with Feature Diversity Adversarial Perturbation

Chenxing Gao, Hang Zhou, Junqing Yu et al.

Phoneme-Level Feature Discrepancies: A Key to Detecting Sophisticated Speech Deepfakes

Kuiyuan Zhang, Zhongyun Hua, Rushi Lan et al.

WaterDiffusion: Learning a Prior-involved Unrolling Diffusion for Joint Underwater Saliency Detection and Visual Restoration

Laibin Chang, Yunke Wang, Longxiang Deng et al.

Graph Coarsening via Supervised Granular-Ball for Scalable Graph Neural Network Training

Shuyin Xia, Xinjun Ma, Zhiyuan Liu et al.

Real-Time Recurrent Reinforcement Learning

Julian Lemmel, Radu Grosu

Muses: 3D-Controllable Image Generation via Multi-Modal Agent Collaboration

Yanbo Ding, Shaobin Zhuang, Kunchang Li et al.

Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model

Zhengrui Chen, Liying Lu, Ziyang Yuan et al.

Boosting Residual Networks with Group Knowledge

Shengji Tang, Peng Ye, Baopu Li et al.

Asymmetric Visual Semantic Embedding Framework for Efficient Vision-Language Alignment

Yang Liu, Mengyuan Liu, Shudong Huang et al.

Beyond Spatial Domain: Cross-domain Promoted Fourier Convolution Helps Single Image Dehazing

Xiaozhe Zhang, Haidong Ding, Fengying Xie et al.

Difficulty-aware Balancing Margin Loss for Long-tailed Recognition

Minseok Son, Inyong Koo, Jinyoung Park et al.

Hypergraph Attacks via Injecting Homogeneous Nodes into Elite Hyperedges

Meixia He, Peican Zhu, Keke Tang et al.

United We Stand: Using Epoch-Wise Agreement of Ensembles to Combat Overfit

Uri Stern, Daniel Shwartz, Daphna Weinshall

ARTICLE: Annotator Reliability Through In-Context Learning

Sujan Dutta, Deepak Pandita, Tharindu Cyril Weerasooriya et al.

Partial Label Learning with a Partner

Chongjie Si, Zekun Jiang, Xuehui Wang et al.

VE-Bench: Subjective-Aligned Benchmark Suite for Text-Driven Video Editing Quality Assessment

Shangkun Sun, Xiaoyu Liang, Songlin Fan et al.

Infer Human’s Intentions Before Following Natural Language Instructions

Yanming Wan, Yue Wu, Yiping Wang et al.

STAIR: Manipulating Collaborative and Multimodal Information for E-Commerce Recommendation

Cong Xu, Yunhang He, Jun Wang et al.

Edge Contrastive Learning: An Augmentation-Free Graph Contrastive Learning Model

Yujun Li, Hongyuan Zhang, Yuan Yuan

Text and Image Are Mutually Beneficial: Enhancing Training-Free Few-Shot Classification with CLIP

Yayuan Li, Jintao Guo, Lei Qi et al.

Addressing Cold-Start Problem in Click-Through Rate Prediction via Supervised Diffusion Modeling

Wenqiao Zhu, Lulu Wang, Jun Wu

Specifying What You Know or Not for Multi-Label Class-Incremental Learning

Aoting Zhang, Dongbao Yang, Chang Liu et al.

Refined Characterizations of Approval-Based Committee Scoring Rules

Chris Dong, Patrick Lederer

Memorize and Rank: Elevating Large Language Models for Clinical Diagnosis Prediction

Mingyu Derek Ma, Xiaoxuan Wang, Yijia Xiao et al.

Seed-Guided Fine-Grained Entity Typing in Science and Engineering Domains

Yu Zhang, Yunyi Zhang, Yanzhen Shen et al.

Parallel Ranking of Ads and Creatives in Real-Time Advertising Systems

Zhiguang Yang, Liufang Sang, Haoran Wang et al.

CoPEFT: Fast Adaptation Framework for Multi-Agent Collaborative Perception with Parameter-Efficient Fine-Tuning

Quanmin Wei, Penglin Dai, Wei Li et al.

Progressive Text-to-Image Diffusion with Soft Latent Direction

YuTeng Ye, Jiale Cai, Hang Zhou et al.

Improving Open-Domain Dialogue Response Generation with Multi-Source Multilingual Commonsense Knowledge

Sixing Wu, Jiong Yu, Jiahao Chen et al.

Cross-modal Multi-task Learning for Multimedia Event Extraction

Jianwei Cao, Yanli Hu, Zhen Tan et al.

COMBHelper: A Neural Approach to Reduce Search Space for Graph Combinatorial Problems

Hao Tian, Sourav Medya, Wei Ye

Anchor Learning with Potential Cluster Constraints for Multi-view Clustering

Yawei Chen, Huibing Wang, Jinjia Peng et al.

Maximizing the Success Probability of Policy Allocations in Online Systems

Artem Betlei, Mariia Vladimirova, Mehdi Sebbar et al.

Learning Not to Regret

David Sychrovský, Michal Sustr, Elnaz Davoodi et al.

AoP-SAM: Automation of Prompts for Efficient Segmentation

Yi Chen, Muyoung Son, Chuanbo Hua et al.

Conditional Diffusion Models Based Conditional Independence Testing

Yanfeng Yang, Shuai Li, Yingjie Zhang et al.

Responsibility in Extensive Form Games

Improving Multimodal Social Media Popularity Prediction via Selective Retrieval Knowledge Augmentation

Xovee Xu, Yifan Zhang, Fan Zhou et al.

Revisiting Projection-Free Online Learning with Time-Varying Constraints

Yibo Wang, Yuanyu Wan, Lijun Zhang

CAMSIC: Content-aware Masked Image Modeling Transformer for Stereo Image Compression

Xinjie Zhang, Shenyuan Gao, Zhening Liu et al.

Action-Agnostic Point-Level Supervision for Temporal Action Detection

Shuhei M. Yoshida, Takashi Shibata, Makoto Terao et al.

Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs

Marcel Wienöbst, Benito van der Zander, Maciej Liskiewicz

CITI: Enhancing Tool Utilizing Ability in Large Language Models Without Sacrificing General Performance

Yupu Hao, Pengfei Cao, Zhuoran Jin et al.

Matching While Perceiving: Enhance Image Feature Matching with Applicable Semantic Amalgamation

Shihua Zhang, Zhenjie Zhu, Zizhuo Li et al.

PixelMan: Consistent Object Editing with Diffusion Models via Pixel Manipulation and Generation

Liyao Jiang, Negar Hassanpour, Mohammad Salameh et al.

Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces

Ahmad-Reza Ehyaei, Kiarash Mohammadi, Amir-Hossein Karimi et al.

Asymmetric Reinforcing Against Multi-Modal Representation Bias

Xiyuan Gao, Bing Cao, Pengfei Zhu et al.

Controllable Distortion-Perception Tradeoff Through Latent Diffusion for Neural Image Compression

Chuqin Zhou, Guo Lu, Jiangchuan Li et al.

DesignEdit: Unify Spatial-Aware Image Editing via Training-free Inpainting with a Multi-Layered Latent Diffusion Framework

Yueru Jia, Aosong Cheng, Yuhui Yuan et al.

A Simple Graph Contrastive Learning Framework for Short Text Classification

Yonghao Liu, Fausto Giunchiglia, Lan Huang et al.

Recognizing Ultra-High-Speed Moving Objects with Bio-Inspired Spike Camera

Junwei Zhao, Shiliang Zhang, Zhaofei Yu et al.

Learning Safe Action Models with Partial Observability

Hai Le, Brendan Juba, Roni Stern

Efficient Connectivity-Preserving Instance Segmentation with Supervoxel-Based Loss Function

Anna Grim, Jayaram Chandrashekar, Uygar Sümbül

Harnessing the Power of Beta Scoring in Deep Active Learning for Multi-Label Text Classification

Wei Tan, Ngoc Dang Nguyen, Lan Du et al.

Sharper Error Bounds in Late Fusion Multi-view Clustering with Eigenvalue Proportion Optimization

Liang Du, Henghui Jiang, Xiaodong Li et al.

One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training

Lianbo Ma, Yuee Zhou, Jianlun Ma et al.

A Thorough Comparison Between Independent Cascade and Susceptible-Infected-Recovered Models

Panfeng Liu, Guoliang Qiu, Biaoshuai Tao et al.

Protect Your Score: Contact-Tracing with Differential Privacy Guarantees

Rob Romijnders, Christos Louizos, Yuki Asano et al.

Causal-Inspired Multitask Learning for Video-Based Human Pose Estimation

Haipeng Chen, Sifan Wu, Zhigang Wang et al.

Direct Amortized Likelihood Ratio Estimation

Adam Cobb, Brian Matejek, Daniel Elenius et al.

Whole Genome Transformer for Gene Interaction Effects in Microbiome Habitat Specificity

Zhufeng Li, Sandeep Suresh Cranganore, Nicholas Youngblut et al.

Graph-Based Cross-Domain Knowledge Distillation for Cross-Dataset Text-to-Image Person Retrieval

Bingjun Luo, Jinpeng Wang, Zewen Wang et al.

Modular-Cam: Modular Dynamic Camera-view Video Generation with LLM

Zirui Pan, Xin Wang, Yipeng Zhang et al.

Deep Rank-One Tensor Functional Factorization for Multi-Dimensional Data Recovery

Yanyi Li, Xi Zhang, Yisi Luo et al.

VProChart: Answering Chart Question Through Visual Perception Alignment Agent and Programmatic Solution Reasoning

Muye Huang, Lingling Zhang, Han Lai et al.

Incomplete and Unpaired Multi-View Graph Clustering with Cross-View Feature Fusion

Liang Zhao, Ziyue Wang, Xiao Wang et al.

Harmonizing Visual and Textual Embeddings for Zero-Shot Text-to-Image Customization

Yeji Song, Jimyeong Kim, Wonhark Park et al.

Self-Evolutionary Large Language Models Through Uncertainty-Enhanced Preference Optimization

Jianing Wang, Yang Zhou, Xiaocheng Zhang et al.

GraSP: Simple Yet Effective Graph Similarity Predictions

Haoran Zheng, Jieming Shi, Renchi Yang

Uncertainty-Aware Global-View Reconstruction for Multi-View Multi-Label Feature Selection

Pingting Hao, Kunpeng Liu, Wanfu Gao

Improving the Robustness of Knowledge-Grounded Dialogue via Contrastive Learning

Jiaan Wang, JIanfeng Qu, Kexin Wang et al.

SiMA-Hand: Boosting 3D Hand-Mesh Reconstruction by Single-to-Multi-View Adaptation

Yinqiao Wang, Hao Xu, Pheng-Ann Heng et al.

Hyperbolic-Constraint Point Cloud Reconstruction from Single RGB-D Images

Wenrui Li, Zhe Yang, Wei Han et al.

Theoretical Aspects of Generating Instances with Unique Solutions: Pre-assignment Models for Unique Vertex Cover

Takashi Horiyama, Yasuaki Kobayashi, Hirotaka Ono et al.

Adaptive Shortcut Debiasing for Online Continual Learning

Doyoung Kim, Dongmin Park, Yooju Shin et al.

LiteSearch: Efficient Tree Search with Dynamic Exploration Budget for Math Reasoning

Ante Wang, Linfeng Song, Ye Tian et al.

Preference-Oriented Supervised Fine-Tuning: Favoring Target Model over Aligned Large Language Models

Yuchen Fan, Yuzhong Hong, Qiushi Wang et al.

mRNA2vec: mRNA Embedding with Language Model in the 5'UTR-CDS for mRNA Design

Honggen Zhang, Xiangrui Gao, June Zhang et al.

Sparis: Neural Implicit Surface Reconstruction of Indoor Scenes from Sparse Views

Yulun Wu, Han Huang, Wenyuan Zhang et al.

Where and How to Attack? A Causality-Inspired Recipe for Generating Counterfactual

Ruichu Cai, Yuxuan Zhu, Jie Qiao et al.

DCLP: Neural Architecture Predictor with Curriculum Contrastive Learning

Shenghe Zheng, Hongzhi Wang, Tianyu Mu

Rebalancing Multi-Label Class-Incremental Learning

Kaile Du, Yifan Zhou, Fan Lyu et al.

DLCA-Recon: Dynamic Loose Clothing Avatar Reconstruction from Monocular Videos

Chunjie Luo, Fei Luo, Yusen Wang et al.

Meta-Learning-Based Adaptive Stability Certificates for Dynamical Systems

Authors: Amit Jena, Dileep Kalathil, Le Xie

Cross-Sentence Gloss Consistency for Continuous Sign Language Recognition

Qi Rao, Ke Sun, Xiaohan Wang et al.

Spot the Error: Non-autoregressive Graphic Layout Generation with Wireframe Locator

Jieru Lin, Danqing Huang, Tiejun Zhao et al.

Multi-type MOOCs Recommendation: Leveraging Deep Multi-Relational Representation and Hierarchical Reasoning

Ye Zhang, Yanqi Gao, Dongjie Wang et al.

BLS-GAN: A Deep Layer Separation Framework for Eliminating Bone Overlap in Conventional Radiographs

Haolin Wang, Yafei Ou, Prasoon Ambalathankandy et al.

From Pairwise to Ranking: Climbing the Ladder to Ideal Collaborative Filtering with Pseudo-Ranking

Yuhan Zhao, Rui Chen, Li Chen et al.

Compact HD Map Construction via Douglas-Peucker Point Transformer

Ruixin Liu, Zejian Yuan

Replacing Paths with Connection-Biased Attention for Knowledge Graph Completion

Sharmishtha Dutta, Alex Gittens, Mohammed J. Zaki et al.

When Should We Prefer State-to-Visual DAgger over Visual Reinforcement Learning?

Tongzhou Mu, Zhaoyang Li, Stanisław Wiktor Strzelecki et al.

MagicNaming: Consistent Identity Generation by Finding a “Name Space” in T2I Diffusion Models

Jing Zhao, Heliang Zheng, Chaoyue Wang et al.

A Variational Autoencoder for Neural Temporal Point Processes with Dynamic Latent Graphs

Sikun Yang, Hongyuan Zha

Decentralized Federated Learning with Model Caching on Mobile Agents

Xiaoyu Wang, Guojun Xiong, Houwei Cao et al.

Minibatch Stochastic Three Points Method for Unconstrained Smooth Minimization

Soumia Boucherouite, Grigory Malinovsky, Peter Richtarik et al.

TIV-Diffusion: Towards Object-Centric Movement for Text-driven Image to Video Generation

Xingrui Wang, Xin Li, Yaosi Hu et al.

APIRL: Deep Reinforcement Learning for REST API Fuzzing

Myles Foley, Sergio Maffeis

MRBTP: Efficient Multi-Robot Behavior Tree Planning and Collaboration

Yishuai Cai, Xinglin Chen, Zhongxuan Cai et al.

On Partial Optimal Transport: Revising the Infeasibility of Sinkhorn and Efficient Gradient Methods

Anh Duc Nguyen, Tuan Dung Nguyen, Quang Nguyen et al.

Leveraging Attention to Effectively Compress Prompts for Long-Context LLMs

Yunlong Zhao, Haoran Wu, Bo Xu

Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classifications

Yutong Xia, Runpeng Yu, Yuxuan Liang et al.

Textured Mesh Saliency: Bridging Geometry and Texture for Human Perception in 3D Graphics

Kaiwei Zhang, Dandan Zhu, Xiongkuo Min et al.

Ambiguity-Restrained Text-Video Representation Learning for Partially Relevant Video Retrieval

Cheol-Ho Cho, WonJun Moon, WooJin Jun et al.

Revelations: A Decidable Class of POMDPs with Omega-Regular Objectives

Marius Belly, Nathanaël Fijalkow, Hugo Gimbert et al.

Two-Timescale Critic-Actor for Average Reward MDPs with Function Approximation

Prashansa Panda, Shalabh Bhatnagar

RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning

Haorong Han, Jidong Yuan, Chixuan Wei et al.

Faithful and Accurate Self-Attention Attribution for Message Passing Neural Networks via the Computation Tree Viewpoint

Yong-Min Shin, Siqing Li, Xin Cao et al.

FedSA: A Unified Representation Learning via Semantic Anchors for Prototype-based Federated Learning

Yanbing Zhou, Xiangmou Qu, Chenlong You et al.

SCOPE: Sign Language Contextual Processing with Embedding from LLMs

Yuqi Liu, Wenqian Zhang, Sihan Ren et al.

Diversifying Query: Region-Guided Transformer for Temporal Sentence Grounding

Xiaolong Sun, Liushuai Shi, Le Wang et al.

LOHA: Direct Graph Spectral Contrastive Learning Between Low-Pass and High-Pass Views

Ziyun Zou, Yinghui Jiang, Lian Shen et al.

VA-AR: Learning Velocity-Aware Action Representations with Mixture of Window Attention

Jiangning Wei, Lixiong Qin, Bo Yu et al.

HYGENE: A Diffusion-Based Hypergraph Generation Method

Dorian Gailhard, Enzo Tartaglione, Lirida Naviner et al.

Value at Adversarial Risk: A Graph Defense Strategy against Cost-Aware Attacks

Junlong Liao, Wenda Fu, Cong Wang et al.

StressPrompt: Does Stress Impact Large Language Models and Human Performance Similarly?

Guobin Shen, Dongcheng Zhao, Aorigele Bao et al.

EF2X Exists for Four Agents

Arash Ashuri, Vasilis Gkatzelis, Alkmini Sgouritsa

Generalisation through Negation and Predicate Invention

David M. Cerna, Andrew Cropper

Personalized Lip Reading: Adapting to Your Unique Lip Movements with Vision and Language

Jeong Hun Yeo, Chae Won Kim, Hyunjun Kim et al.

Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees

EMPLACE: Self-Supervised Urban Scene Change Detection

Tim Alpherts, Sennay Ghebreab, Nanne van Noord

ODDN: Addressing Unpaired Data Challenges in Open-World Deepfake Detection on Online Social Networks

Renshuai Tao, Manyi Le, Chuangchuang Tan et al.

MonoBox: Tightness-Free Box-Supervised Polyp Segmentation Using Monotonicity Constraint

Qiang Hu, Zhenyu Yi, Ying Zhou et al.

Complexity of Neural Network Training and ETR: Extensions with Effectively Continuous Functions

Teemu Hankala, Miika Hannula, Juha Kontinen et al.

SEAS: Self-Evolving Adversarial Safety Optimization for Large Language Models

Muxi Diao, Rumei Li, Shiyang Liu et al.

Variance-Insensitive and Target-Preserving Mask Refinement for Interactive Image Segmentation

Chaowei Fang, Ziyin Zhou, Junye Chen et al.

Improved Regret Bounds for Online Fair Division with Bandit Learning

Benjamin Schiffer, Shirley Zhang

Robust Few-Shot Named Entity Recognition with Boundary Discrimination and Correlation Purification

Xiaojun Xue, Chunxia Zhang, Tianxiang Xu et al.

BiPFT: Binary Pre-trained Foundation Transformer with Low-Rank Estimation of Binarization Residual Polynomials

Xingrun Xing, Li Du, Xinyuan Wang et al.

GradQ-ViT: Robust and Efficient Gradient Quantization for Vision Transformers

Dahun Choi, Hyun Kim

Learning Real-World Image De-weathering with Imperfect Supervision

Xiaohui Liu, Zhilu Zhang, Xiaohe Wu et al.

Permutation-Based Hypothesis Testing for Neural Networks

Francesca Mandel, Ian Barnett

Color Transfer with Modulated Flows

Maria Larchenko, Alexander Lobashev, Dmitry Guskov et al.

Graph Structure Refinement with Energy-based Contrastive Learning

Xianlin Zeng, Yufeng Wang, Yuqi Sun et al.

Scalable Quantum-Inspired Optimization Through Dynamic Qubit Compression

Co Tran, Quoc-Bao Tran, Hy Truong Son et al.