Most Cited AAAI "hypothesis likelihood calibration" Papers

EditBoard: Towards a Comprehensive Evaluation Benchmark for Text-Based Video Editing Models

Yupeng Chen, Penglin Chen, Xiaoyu Zhang et al.

RRT-MVS: Recurrent Regularization Transformer for Multi-View Stereo

Jianfei Jiang, Liyong Wang, Haochen Yu et al.

Analytically Tractable Models for Decision Making under Present Bias

Yasunori Akagi, Naoki Marumo, Takeshi Kurashima

Unravelling Expressive Delegations: Complexity and Normative Analysis

Giannis Tyrovolas, Andrei Constantinescu, Edith Elkind

Distributed Manifold Hashing for Image Set Classification and Retrieval

Xiaobo Shen, Peizhuo Song, Yun-Hao Yuan et al.

TokenMatcher: Diverse Tokens Matching for Unsupervised Visible-Infrared Person Re-Identification

Xiao Wang, Lekai Liu, Bin Yang et al.

SemStereo: Semantic-Constrained Stereo Matching Network for Remote Sensing

Chen Chen, Liangjin Zhao, Yuanchun He et al.

From Past to Future: Rethinking Eligibility Traces

Dhawal Gupta, Scott Jordan, Shreyas Chaudhari et al.

Thinking in Granularity: Dynamic Quantization for Image Super-Resolution by Intriguing Multi-Granularity Clues

Mingshen Wang, Zhao Zhang, Feng Li et al.

Conditional Feature Importance with Generative Modeling Using Adversarial Random Forests

Kristin Blesch, Niklas Koenen, Jan Kapar et al.

Debiased Distillation for Consistency Regularization

Lu Wang, Liuchi Xu, Xiong Yang et al.

Imitation of Life: A Search Engine for Biologically Inspired Design

Hen Emuna, Nadav Borenstein, Xin Qian et al.

Robustly Train Normalizing Flows via KL Divergence Regularization

Kun Song, Ruben Solozabal Ochoa de Retana, Hao Li et al.

Efficient Self-Supervised Video Hashing with Selective State Spaces

Jinpeng Wang, Niu Lian, Jun Li et al.

When Witnesses Defend: A Witness Graph Topological Layer for Adversarial Graph Learning

Naheed Anjum Arafat, Debabrota Basu, Yulia Gel et al.

Evaluate Geometry of Radiance Fields with Low-Frequency Color Prior

Qihang Fang, Yafei Song, Keqiang Li et al.

DanceAnyWay: Synthesizing Beat-Guided 3D Dances with Randomized Temporal Contrastive Learning

Aneesh Bhattacharya, Manas Paranjape, Uttaran Bhattacharya et al.

Towards Efficient Object Re-Identification with a Novel Cloud-Edge Collaborative Framework

Chuanming Wang, Yuxin Yang, Mengshi Qi et al.

Confusing Pair Correction Based on Category Prototype for Domain Adaptation under Noisy Environments

Churan Zhi, Junbao Zhuo, Shuhui Wang

MA-Net: Rethinking Neural Unit in the Light of Astrocytes

Mengqiao Han, Liyuan Pan, Xiabi Liu

MAPTree: Beating “Optimal” Decision Trees with Bayesian Decision Trees

Colin Sullivan, Mo Tiwari, Sebastian Thrun

Hypercorrelation Evolution for Video Class-Incremental Learning

Sen Liang, Kai Zhu, Wei Zhai et al.

Scalable Motion Style Transfer with Constrained Diffusion Generation

Wenjie Yin, Yi Yu, Hang Yin et al.

Watch Video, Catch Keyword: Context-aware Keyword Attention for Moment Retrieval and Highlight Detection

Sung Jin Um, Dongjin Kim, Sangmin Lee et al.

A Practical Approach to Causal Inference over Time

Martina Cinquini, Isacco Beretta, Salvatore Ruggieri et al.

DPCL-Diff：Temporal Knowledge Graph Reasoning Based on Graph Node Diffusion Model with Dual-Domain Periodic Contrastive Learning

Yukun Cao, LIsheng Wang, Luobin Huang

NaviFormer: A Spatio-Temporal Context-Aware Transformer for Object Navigation

Wei Xie, Haobo Jiang, Yun Zhu et al.

Plug-and-Play Tri-Branch Invertible Block for Image Rescaling

Jingwei Bao, Jinhua Hao, Pengcheng Xu et al.

Towards Audio-Visual Navigation in Noisy Environments: A Large-Scale Benchmark Dataset and an Architecture Considering Multiple Sound-Sources

Zhanbo Shi, Lin Zhang, Linfei Li et al.

SHoP: A Deep Learning Framework for Solving High-Order Partial Differential Equations

Tingxiong Xiao, Runzhao Yang, Yuxiao Cheng et al.

Sample Efficient Reinforcement Learning with Partial Dynamics Knowledge

Meshal Alharbi, Mardavij Roozbehani, Munther Dahleh

Generating Traffic Scenarios via In-Context Learning to Learn Better Motion Planner

Aizierjiang Aiersilan

More Text, Less Point: Towards 3D Data-Efficient Point-Language Understanding

Yuan Tang, Xu Han, Xianzhi Li et al.

Unify Named Entity Recognition Scenarios via Contrastive Real-Time Updating Prototype

Yanhe Liu, Peng Wang, Ke Wenjun et al.

HUANG: A Robust Diffusion Model-based Targeted Adversarial Attack Against Deep Hashing Retrieval

Chihan Huang, Xiaobo Shen

Correcting Large Language Model Behavior via Influence Function

Han Zhang, Zhuo Zhang, Yi Zhang et al.

Does Your AI Agent Get You? A Personalizable Framework for Approximating Human Models from Argumentation-based Dialogue Traces

Yinxu Tang, Stylianos Loukas Vasileiou, William Yeoh

ConSense: Continually Sensing Human Activity with WiFi via Growing and Picking

Rong Li, Tao Deng, Siwei Feng et al.

Learning Multi-Object Positional Relationships via Emergent Communication

Yicheng Feng, Boshi An, Zongqing Lu

Swift-Mapping: Online Neural Implicit Dense Mapping in Urban Scenes

Ke Wu, Kaizhao Zhang, Mingzhe Gao et al.

Computing Game Symmetries and Equilibria That Respect Them

Emanuel Tewolde, Brian Hu Zhang, Caspar Oesterheld et al.

Competition among Pairwise Lottery Contests

Xiaotie Deng, Hangxin Gan, Ningyuan Li et al.

3D Annotation-Free Learning by Distilling 2D Open-Vocabulary Segmentation Models for Autonomous Driving

Boyi Sun, Yuhang Liu, Xingxia Wang et al.

Spatial-Related Sensors Matters: 3D Human Motion Reconstruction Assisted with Textual Semantics

Xueyuan Yang, Chao Yao, Xiaojuan Ban

Optimal Bounds for Dissatisfaction in Perpetual Voting

Alexander Kozachinskiy, Alexander Shen, Tomasz Steifer

Improved Maximin Share Approximations for Chores by Bin Packing

Jugal Garg, Xin Huang, Erel Segal-Halevi

Disentangle Nighttime Lens Flares: Self-supervised Generation-based Lens Flare Removal

Yuwen He, Wei Wang, Wanyu Wu et al.

Long-Tailed Out-of-Distribution Detection: Prioritizing Attention to Tail

Yina He, Lei Peng, Yongcun Zhang et al.

Coverage-Guaranteed Prediction Sets for Out-of-Distribution Data

Xin Zou, Weiwei Liu

iDet3D: Towards Efficient Interactive Object Detection for LiDAR Point Clouds

Dongmin Choi, Wonwoo Cho, Kangyeol Kim et al.

Every Bit Helps: Achieving the Optimal Distortion with a Few Queries

Soroush Ebadian, Nisarg Shah

Combining Multiple Supervision for Robust Zero-Shot Dense Retrieval

Yan Fang, Qingyao Ai, Jingtao Zhan et al.

The Value of Recall in Extensive-Form Games

Ratip Emin Berker, Emanuel Tewolde, Ioannis Anagnostides et al.

BARET: Balanced Attention Based Real Image Editing Driven by Target-Text Inversion

Yuming Qiao, Fanyi Wang, Jingwen Su et al.

Fair Division with Market Values

Siddharth Barman, Soroush Ebadian, Mohamad Latifian et al.

Enhancing Multi-Label Classification via Dynamic Label-Order Learning

Jiangnan Li, Yice ZHANG, Shiwei Chen et al.

Tokenphormer: Structure-aware Multi-token Graph Transformer for Node Classification

Zijie Zhou, Zhaoqi Lu, Xuekai Wei et al.

Multiagent Gumbel MuZero: Efficient Planning in Combinatorial Action Spaces

Xiaotian Hao, Jianye Hao, Chenjun Xiao et al.

L3TC: Leveraging RWKV for Learned Lossless Low-Complexity Text Compression

Junxuan Zhang, Zhengxue Cheng, Yan Zhao et al.

CoT4Rec: Revealing User Preferences Through Chain of Thought for Recommender Systems

Weiqi Yue, Yuyu Yin, Xin Zhang et al.

Unsupervised Domain Adaptive Person Search via Dual Self-Calibration

Linfeng Qi, Huibing Wang, Jiqing Zhang et al.

Prior and Prediction Inverse Kernel Transformer for Single Image Defocus Deblurring

Peng TANG, Zhiqiang Xu, Chunlai Zhou et al.

Disentangling Tabular Data Towards Better One-Class Anomaly Detection

Jianan Ye, Zhaorui Tan, Yijie Hu et al.

Semi-supervised 3D Semantic Scene Completion with 2D Vision Foundation Model Guidance

Duc-Hai Pham, Duc-Dung Nguyen, Anh Pham et al.

Relational Distant Supervision for Image Captioning without Image-Text Pairs

Yayun Qi, Wentian Zhao, Xinxiao Wu

SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot Segmentation

Shi-Feng Peng, Guolei Sun, Yong Li et al.

Learning Diffusions under Uncertainty

Hao Huang, Qian Yan, Keqi Han et al.

Stable Model Semantics for Description Logic Terminologies

Federica Di Stefano, Mantas Simkus

Adaptive Dual-domain Learning for Underwater Image Enhancement

Lintao Peng, Liheng Bian

dyAb: Flow Matching for Flexible Antibody Design with AlphaFold-driven Pre-binding Antigen

Cheng Tan, Yijie Zhang, Zhangyang Gao et al.

Proxyformer: Nystrom-Based Linear Transformer with Trainable Proxy Tokens

SangHo Lee, Hayun Lee, Dongkun Shin

Molecular Optimization Model with Patentability Constraint

Sally Turutov, Kira Radinsky

Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics

Li Sun, Ziheng Zhang, Zixi Wang et al.

UniFORM: Towards Unified Framework for Anomaly Detection on Graphs

Chuancheng Song, Xixun Lin, Hanyang Shen et al.

END^2: Robust Dual-Decoder Watermarking Framework Against Non-Differentiable Distortions

Nan Sun, Han Fang, Yuxing Lu et al.

Multi-Modal Recommendation Unlearning for Legal, Licensing, and Modality Constraints

Yash Sinha, Murari Mandal, Mohan Kankanhalli

Mitigating the Impact of False Negative in Dense Retrieval with Contrastive Confidence Regularization

Shiqi Wang, Yeqin Zhang, Cam-Tu Nguyen

Multiobjective Lipschitz Bandits under Lexicographic Ordering

Bo Xue, Ji Cheng, Fei Liu et al.

EventMamba: Enhancing Spatio-Temporal Locality with State Space Models for Event-Based Video Reconstruction

Chengjie Ge, Xueyang Fu, Peng He et al.

Predicting User Behavior in Smart Spaces with LLM-Enhanced Logs and Personalized Prompts

Yunpeng Song, Jiawei Li, Yiheng Bian et al.

Data Adaptive Traceback for Vision-Language Foundation Models in Image Classification

Long-Fei Li, Peng Zhao, Zhi-Hua Zhou

Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI

Qinqian Lei, Bo Wang, Robby T. Tan

RDPI: A Refine Diffusion Probability Generation Method for Spatiotemporal Data Imputation

Zijin Liu, Xiang Zhao, You Song

Black-Box Test-Time Prompt Tuning for Vision-Language Models

Fan'an Meng, Chaoran Cui, Hongjun Dai et al.

Coherency Improved Explainable Recommendation via Large Language Model

Shijie Liu, Ruixin Ding, Weihai Lu et al.

Distribution-Consistency-Guided Multi-modal Hashing

Jin-Yu Liu, Xian-Ling Mao, Tian-Yi Che et al.

ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data

Zhenyu Lei, Yushun Dong, Jundong Li et al.

CAKE: Category Aware Knowledge Extraction for Open-Vocabulary Object Detection

Shiyuan Ma, Donglin Qian, Kai Ye et al.

HI-DR: Exploiting Health Status-Aware Attention and an EHR Graph+ for Effective Medication Recommendation

Taeri Kim, Jiho Heo, Hyunjoon Kim et al.

Step-Calibrated Diffusion for Biomedical Optical Image Restoration

Yiwei Lyu, Sung Jik Cha, Cheng Jiang et al.

Parameterized Projected Bellman Operator

Théo Vincent, Alberto Maria Metelli, Boris Belousov et al.

Beyond Graph Convolution: Multimodal Recommendation with Topology-aware MLPs

Junjie Huang, Jiarui Qin, Yong Yu et al.

Rethinking U-Net: Task-Adaptive Mixture of Skip Connections for Enhanced Medical Image Segmentation

Zichen Luo, Xinshan Zhu, Lan Zhang et al.

PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks

Chen Feng, Ziquan Liu, Zhuo Zhi et al.

BVT-IMA: Binary Vision Transformer with Information-Modified Attention

Zhenyu Wang, Hao Luo, Xuemei Xie et al.

s-ID: Causal Effect Identification in a Sub-population

Amir Mohammad Abouei, Ehsan Mokhtarian, Negar Kiyavash

Towards Generalizable Multi-Camera 3D Object Detection via Perspective Rendering

Hao Lu, Yunpeng Zhang, Guoqing Wang et al.

BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation

Qile Fan, Penghang Yu, Zhiyi Tan et al.

CEDFlow: Latent Contour Enhancement for Dark Optical Flow Estimation

Fengyuan Zuo, Zhaolin Xiao, Haiyan Jin et al.

Neural Reasoning for Sure Through Constructing Explainable Models

Tiansi Dong, Mateja Jamnik, Pietro Liò

Robust SAM: On the Adversarial Robustness of Vision Foundation Models

Jiahuan Long, Zhengqin Xu, Tingsong Jiang et al.

RMath: A Logic Reasoning-Focused Datasets Toward Mathematical Multistep Reasoning Tasks

Ziyi Hu, Jun Liu, Zhongzhi Liu et al.

DHMoE: Diffusion Generated Hierarchical Multi-Granular Expertise for Stock Prediction

Weijun Chen, Yanze Wang

Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical Forms

Jianqi Gao, Jian Cao, Ranran Bu et al.

BSDB-Net: Band-Split Dual-Branch Network with Selective State Spaces Mechanism for Monaural Speech Enhancement

Cunhang Fan, Enrui Liu, Andong Li et al.

Defying Imbalanced Forgetting in Class Incremental Learning

Shixiong Xu, Gaofeng Meng, Xing Nie et al.

Search Strategy Generation for Branch and Bound Using Genetic Programming

Gwen Maudet, Grégoire Danoy

Interacted Object Grounding in Spatio-Temporal Human-Object Interactions

Xiaoyang Liu, Boran Wen, Xinpeng Liu et al.

Improving the Lower Bound in Branch-and-Bound Algorithms for MaxSAT

Shuolin Li, Chu-Min Li, Jordi Coll et al.

A Novel Diffusion Model for Pairwise Geoscience Data Generation with Unbalanced Training Dataset

Junhuan Yang, Yuzhou Zhang, Yi Sheng et al.

Sentence-level Aggregation of Lexical Metrics Correlates Stronger with Human Judgements than Corpus-level Aggregation

Paulo Cavalin, Pedro H. Domingues, Claudio Pinhanez

Training Matting Models Without Alpha Labels

Wenze Liu, Zixuan Ye, Hao Lu et al.

Approximated Variational Bayesian Inverse Reinforcement Learning for Large Language Model Alignment

Yuang Cai, Yuyu Yuan, Jinsheng Shi et al.

Bridging Sequence-Structure Alignment in RNA Foundation Models

Heng Yang, Renzhi Chen, Ke Li

No Head Left Behind – Multi-Head Alignment Distillation for Transformers

Tianyang Zhao, Kunwar Singh, Srikar Appalaraju et al.

Revisiting Interpolation for Noisy Label Correction

Yuanzhuo Xu, Xiaoguang Niu, Jie Yang et al.

Explanation Bottleneck Models

Shin'ya Yamaguchi, Kosuke Nishida

Multilingual Mathematical Reasoning: Advancing Open-Source LLMs in Hindi and English

Avinash Anand, Kritarth Prasad, Chhavi Kirtani et al.

Relation-aware Hierarchical Prompt for Open-vocabulary Scene Graph Generation

Tao Liu, Rongjie Li, Chongyu Wang et al.

Social Recommendation via Graph-Level Counterfactual Augmentation

Yinxuan Huang, Ke Liang, Yanyi Huang et al.

Adversarial Attacks on Federated-Learned Adaptive Bitrate Algorithms

Ruixiao Zhang, Tianchi Huang

SAUI: Scale-Aware Unseen Imagineer for Zero-Shot Object Detection

Jiahao Wang, Caixia Yan, Weizhan Zhang et al.

Quality over Quantity: Boosting Data Efficiency Through Ensembled Multimodal Data Curation

Jinda Xu, Yuhao Song, Daming Wang et al.

Explaining Decisions of Agents in Mixed-Motive Games

Maayan Orner, Oleg Maksimov, Akiva Kleinerman et al.

Pilot: Building the Federated Multimodal Instruction Tuning Framework

Baochen Xiong, Xiaoshan Yang, Yaguang Song et al.

Bridge Diffusion Model: Bridge Chinese Text-to-Image Diffusion Model with English Communities

Shanyuan Liu, Bo Cheng, Yuhang Ma et al.

DARR: A Dual-Branch Arithmetic Regression Reasoning Framework for Solving Machine Number Reasoning

Chengtai Li, Yee Yang Tan, Yuting He et al.

Solving Multiagent Path Finding on Highly Centralized Networks

Foivos Fioravantes, Dušan Knop, Jan Matyáš Křišťan et al.

Hierarchical Consensus Network for Multiview Feature Learning

Chengwei Xia, Chaoxi Niu, Kun Zhan

Backward Responsibility in Transition Systems Using General Power Indices

Christel Baier, Roxane van den Bossche, Sascha Klüppelholz et al.

Ahpatron: A New Budgeted Online Kernel Learning Machine with Tighter Mistake Bound

Yun Liao, Junfan Li, Shizhong Liao et al.

Thin-Plate Spline-based Interpolation for Animation Line Inbetweening

Tianyi Zhu, Wei Shang, Dongwei Ren

Generalization of Graph Neural Networks Is Robust to Model Mismatch

Zhiyang Wang, Juan Cerviño, Alejandro Ribeiro

ProtoCar: Learning 3D Vehicle Prototypes from Single-View and Unconstrained Driving Scene Images

Hongyuan Liu, Haochen Yu, Bochao Zou et al.

FedVCK: Non-IID Robust and Communication-Efficient Federated Learning via Valuable Condensed Knowledge for Medical Image Analysis

Guochen Yan, Luyuan Xie, Xinyi Gao et al.

Turning Waste into Wealth: Leveraging Low-Quality Samples for Enhancing Continuous Conditional Generative Adversarial Networks

Wasserstein Differential Privacy

Chengyi Yang, Jiayin Qi, Aimin Zhou

Dynamic Contrastive Knowledge Distillation for Efficient Image Restoration

Yunshuai Zhou, Junbo Qiao, Jincheng Liao et al.

Conformal Inference of Individual Treatment Effects Using Conditional Density Estimates

Baozhen Wang, Xingye Qiao

Text to Point Cloud Localization with Multi-Level Negative Contrastive Learning

Dunqiang Liu, Shujun Huang, Wen Li et al.

Emergent Communication for Numerical Concepts Generalization

Enshuai Zhou, Yifan Hao, Rui Zhang et al.

Semantic-Aware Data Augmentation for Text-to-Image Synthesis

Zhaorui Tan, Xi Yang, Kaizhu Huang

Max-Mahalanobis Anchors Guidance for Multi-View Clustering

Pei Zhang, Yuangang Pan, Siwei Wang et al.

A-VL: Adaptive Attention for Large Vision-Language Models

Junyang Zhang, Mu Yuan, Ruiguang Zhong et al.

SSAN: A Symbol Spatial-Aware Network for Handwritten Mathematical Expression Recognition

Haoran Zhang, Xiangdong Su, Xingxiang Zhou et al.

Learning Robust and Privacy-Preserving Representations via Information Theory

Binghui Zhang, Sayedeh Leila Noorbakhsh, Yun Dong et al.

VPDETR: End-to-End Vanishing Point DEtection TRansformers

Taiyan Chen, Xianghua Ying, Jinfa Yang et al.

Dynamic Target Distribution Estimation for Source-Free Open-Set Domain Adaptation

Zhiqi Yu, Zhichao Liao, Jingjing Li et al.

Testing Causal Models with Hidden Variables in Polynomial Delay via Conditional Independencies

Hyunchai Jeong, Adiba Ejaz, Jin Tian et al.

FlowMamba: Learning Point Cloud Scene Flow with Global Motion Propagation

Min Lin, Gangwei Xu, Yun Wang et al.

DCSF-KD: Dynamic Channel-wise Spatial Feature Knowledge Distillation for Object Detection

Tao Dai, Yang Lin, Hang Guo et al.

Counterexample Guided Program Repair Using Zero-Shot Learning and MaxSAT-based Fault Localization

Pedro Orvalho, Mikoláš Janota, Vasco M. Manquinho

DFF: Decision-Focused Fine-Tuning for Smarter Predict-Then-Optimize with Limited Data

Jiaqi Yang, Enming Liang, Zicheng Su et al.

On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design

Ziqiao Ao, Jinglai Li

WEPO: Web Element Preference Optimization for LLM-based Web Navigation

Jiarun Liu, Jia Hao, Chunhong Zhang et al.

An LLM-Empowered Adaptive Evolutionary Algorithm for Multi-Component Deep Learning Systems

Haoxiang Tian, Xingshuo Han, Guoquan Wu et al.

Adversarial Attacks on Event-Based Pedestrian Detectors: A Physical Approach

Guixu Lin, Muyao Niu, Qingtian Zhu et al.

HyperMixer: Specializable Hypergraph Channel Mixing for Long-term Multivariate Time Series Forecasting

Changyuan Tian, Zhicong Lu, Zequn Zhang et al.

Deciphering Compatibility Relationships with Textual Descriptions via Extraction and Explanation

9135 Yu Wang, Zexue He, Zhankui He et al.

Multi Agent Reinforcement Learning for Sequential Satellite Assignment Problems

Joshua Holder, Natasha Jaques, Mehran Mesbahi

Learning by Erasing: Conditional Entropy Based Transferable Out-of-Distribution Detection

Meng Xing, Zhiyong Feng, Yong Su et al.

What to Preserve and What to Transfer: Faithful, Identity-Preserving Diffusion-based Hairstyle Transfer

Chaeyeon Chung, Sunghyun Park, Jeongho Kim et al.

Cross-PCR: A Robust Cross-Source Point Cloud Registration Framework

Guiyu Zhao, Zhentao Guo, Zewen Du et al.

Strategyproof Mechanisms for Group-Fair Obnoxious Facility Location Problems

Jiaqian Li, Minming Li, Hau Chan

Single-View Graph Contrastive Learning with Soft Neighborhood Awareness

Qingqiang Sun, Chaoqi Chen, Ziyue Qiao et al.

Operationalising Rawlsian Ethics for Fairness in Norm Learning Agents

Jessica Woodgate, Paul Marshall, Nirav Ajmeri

MindMap: Constructing Evidence Chains for Multi-Step Reasoning in Large Language Models

Yangyu Wu, Xu Han, Wei Song et al.

Higher Order Structures for Graph Explanations

Akshit Sinha, Sreeram Vennam, Charu Sharma et al.

ConceptSearch: Towards Efficient Program Search Using LLMs for Abstraction and Reasoning Corpus (ARC)

Kartik Singhal, Gautam Shroff

PatentLMM: Large Multimodal Model for Generating Descriptions for Patent Figures

Shreya Shukla, Nakul Sharma, Manish Gupta et al.

Robustness Verification of Deep Reinforcement Learning Based Control Systems Using Reward

Dapeng Zhi, Peixin Wang, Cheng Chen et al.

Multi-View Incremental Learning with Structured Hebbian Plasticity for Enhanced Fusion Efficiency

Yuhong Chen, Ailin Song, Huifeng Yin et al.

Delay as Payoff in MAB

Ofir Schlisselberg, Ido Cohen, Tal Lancewicki et al.

Bootstraping Clustering of Gaussians for View-consistent 3D Scene Understanding

Wenbo Zhang, Lu Zhang, Ping Hu et al.

Enhancing Implicit Neural Representations via Symmetric Power Transformation

Weixiang Zhang, Shuzhao Xie, Chengwei Ren et al.

User Preference Meets Pareto-Optimality in Multi-Objective Bayesian Optimization

Joshua Hang Sai Ip, Ankush Chakrabarty, Ali Mesbah et al.

Enhancing Robustness in Incremental Learning with Adversarial Training

Seungju Cho, Hongsin Lee, Changick Kim

Robust Beamforming for Downlink Multi-Cell Systems: A Bilevel Optimization Perspective

Xingdi Chen, Yu Xiong, Kai YANG

Enhancing Masked Time-Series Modeling via Dropping Patches

Tianyu Qiu, Yi Xie, Hao Niu et al.

SAIL: Sample-Centric In-Context Learning for Document Information Extraction

Jinyu Zhang, Zhiyuan You, Jize Wang et al.

Training with “Paraphrasing the Original Text” Teaches LLM to Better Retrieve in Long-Context Tasks

Yijiong Yu, Yongfeng Huang, Zhixiao Qi et al.

PersonaMagic: Stage-Regulated High-Fidelity Face Customization with Tandem Equilibrium

Xinzhe Li, Jiahui Zhan, Shengfeng He et al.

Enhancing SQL Query Generation with Neurosymbolic Reasoning

Henrijs Princis, Cristina David, Alan Mycroft

SOLA-GCL: Subgraph-Oriented Learnable Augmentation Method for Graph Contrastive Learning

Tianhao Peng, Xuhong Li, Haitao Yuan et al.

DSRC: Learning Density-Insensitive and Semantic-Aware Collaborative Representation Against Corruptions

Jingyu Zhang, Yilei Wang, Lang Qian et al.

Large-Scale Non-convex Stochastic Constrained Distributionally Robust Optimization

Qi Zhang, Yi Zhou, Ashley Prater-Bennette et al.

Efficient Learning in Polyhedral Games via Best-Response Oracles

Darshan Chakrabarti, Gabriele Farina, Christian Kroer

Enhanced Sample Selection with Confidence Tracking: Identifying Correctly Labeled Yet Hard-to-Learn Samples in Noisy Data

Weiran Pan, Wei Wei, Feida Zhu et al.

AIM: Additional Image Guided Generation of Transferable Adversarial Attacks

Teng Li, Xingjun Ma, Yu-Gang Jiang

Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection

Ziyi Zhou, Xiaoming Zhang, Shenghan Tan et al.

Efficient Few-Shot Neural Architecture Search by Counting the Number of Nonlinear Functions

Youngmin Oh, Hyunju Lee, Bumsub Ham

DualDynamics: Synergizing Implicit and Explicit Methods for Robust Irregular Time Series Analysis

YongKyung Oh, Dong-Young Lim, Sungil Kim

Benchmarking and Understanding Compositional Relational Reasoning of LLMs

Ruikang Ni, Da Xiao, Qingye Meng et al.

SongEditor: Adapting Zero-Shot Song Generation Language Model as a Multi-Task Editor

Chenyu Yang, Shuai Wang, Hangting Chen et al.

Improving Pareto Set Learning for Expensive Multi-objective Optimization via Stein Variational Hypernetworks

Minh-Duc Nguyen, Phuong Mai Dinh, Quang-Huy Nguyen et al.

Regional Expected Improvement for Efficient Trust Region Selection in High-Dimensional Bayesian Optimization

Nobuo Namura, Sho Takemori

12087 Limitations of Face Image Generation

Harrison Rosenberg, Shimaa Ahmed, Guruprasad Ramesh et al.

CoLAL: Co-learning Active Learning for Text Classification

Linh Le, Genghong Zhao, Xia Zhang et al.

Gaze Label Alignment: Alleviating Domain Shift for Gaze Estimation

Guanzhong Zeng, Jingjing Wang, Zefu Xu et al.

Friends-MMC: A Dataset for Multi-modal Multi-party Conversation Understanding

Yueqian Wang, Xiaojun Meng, Yuxuan Wang et al.