Most Cited AAAI "learnability recovery" Papers

Leveraging Large Vision-Language Model as User Intent-Aware Encoder for Composed Image Retrieval

Zelong Sun, Dong Jing, Guoxing Yang et al.

EWMoE: An Effective Model for Global Weather Forecasting with Mixture-of-Experts

Lihao Gan, Xin Man, Chenghong Zhang et al.

Imitate the Good and Avoid the Bad: An Incremental Approach to Safe Reinforcement Learning

Huy Hoang, Tien Mai, Pradeep Varakantham

DeepPointMap: Advancing LiDAR SLAM with Unified Neural Descriptors

Xiaze Zhang, Ziheng Ding, Qi Jing et al.

Robust Policy Learning via Offline Skill Diffusion

Woo Kyung Kim, Minjong Yoo, Honguk Woo

Bridging the Semantic Latent Space between Brain and Machine: Similarity Is All You Need

Jiaxuan Chen, Yu Qi, Yueming Wang et al.

DeepSaDe: Learning Neural Networks That Guarantee Domain Constraint Satisfaction

Kshitij Goyal, Sebastijan Dumancic, Hendrik Blockeel

TNPAR: Topological Neural Poisson Auto-Regressive Model for Learning Granger Causal Structure from Event Sequences

Authors: Yuequn Liu, Ruichu Cai, Wei Chen et al.

Spherical Pseudo-Cylindrical Representation for Omnidirectional Image Super-resolution

Qing Cai, Mu Li, Dongwei Ren et al.

Discretization-Induced Dirichlet Posterior for Robust Uncertainty Quantification on Regression

Xuanlong Yu, Gianni Franchi, Jindong Gu et al.

Achieving Maximin Share and EFX/EF1 Guarantees Simultaneously

Hannaneh Akrami, Nidhi Rathi

Expensive Multi-Objective Bayesian Optimization Based on Diffusion Models

Bingdong Li, Zixiang Di, Yongfan Lu et al.

Offline-to-Online Hyperparameter Transfer for Stochastic Bandits

Dravyansh Sharma, Arun Suggala

Improving Integrated Gradient-based Transferable Adversarial Examples by Refining the Integration Path

Yuchen Ren, Zhengyu Zhao, Chenhao Lin et al.

DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-Based Cell Detection

Zhongyi Shui, Sunyi Zheng, Chenglu Zhu et al.

DuMo: Dual Encoder Modulation Network for Precise Concept Erasure

Feng Han, Kai Chen, Chao Gong et al.

From PEFT to DEFT: Parameter Efficient Finetuning for Reducing Activation Density in Transformers

Bharat Runwal, Tejaswini Pedapati, Pin-Yu Chen

Learning Diverse Risk Preferences in Population-Based Self-Play

Yuhua Jiang, Qihan Liu, Xiaoteng Ma et al.

Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning

Junkai Zhang, Yifan Zhang, Xi Sheryl Zhang et al.

SUMO: Search-Based Uncertainty Estimation for Model-Based Offline Reinforcement Learning

Zhongjian Qiao, Jiafei Lyu, Kechen Jiao et al.

Embedded Feature Selection on Graph-Based Multi-View Clustering

Guangfei Li, Haizhou Yang, Quanxue Gao et al.

Better than Random: Reliable NLG Human Evaluation with Constrained Active Sampling

Jie Ruan, Xiao Pu, Mingqi Gao et al.

Erase Then Rectify: A Training-Free Parameter Editing Approach for Cost-Effective Graph Unlearning

Zhe-Rui Yang, Jindong Han, Chang-Dong Wang et al.

Revisiting Graph Contrastive Learning on Anomaly Detection: A Structural Imbalance Perspective

Yiming Xu, Zhen Peng, Bin Shi et al.

Online Submodular Maximization via Online Convex Optimization

Tareq Si Salem, Gözde Özcan, Iasonas Nikolaou et al.

Audio Scanning Network: Bridging Time and Frequency Domains for Audio Classification

Liangwei Chen, Xiren Zhou, Huanhuan Chen

Re2LLM: Reflective Reinforcement Large Language Model for Session-based Recommendation

Ziyan Wang, Yingpeng Du, Zhu Sun et al.

Uncertainty Quantification for Forward and Inverse Problems of PDEs via Latent Global Evolution

Tailin Wu, Willie Neiswanger, Hongtao Zheng et al.

Enhancing Evolving Domain Generalization through Dynamic Latent Representations

Binghui Xie, Yongqiang Chen, Jiaqi Wang et al.

CatmullRom Splines-Based Regression for Image Forgery Localization

Li Zhang, Mingliang Xu, Dong Li et al.

SIG: Speaker Identification in Literature via Prompt-Based Generation

Zhenlin Su, Liyan Xu, Jin Xu et al.

Disjoint Partial Enumeration without Blocking Clauses

Giuseppe Spallitta, Roberto Sebastiani, Armin Biere

BLiRF: Bandlimited Radiance Fields for Dynamic Scene Modeling

Sameera Ramasinghe, Violetta Shevchenko, Gil Avraham et al.

Neural Reasoning about Agents’ Goals, Preferences, and Actions

Matteo Bortoletto, Lei Shi, Andreas Bulling

Autonomous LLM-Enhanced Adversarial Attack for Text-to-Motion

Honglei Miao, Fan Ma, Ruijie Quan et al.

EPERM: An Evidence Path Enhanced Reasoning Model for Knowledge Graph Question and Answering

Xiao Long, Liansheng Zhuang, Aodi Li et al.

ToMATO: Verbalizing the Mental States of Role-Playing LLMs for Benchmarking Theory of Mind

Kazutoshi Shinoda, Nobukatsu Hojo, Kyosuke Nishida et al.

Attack-in-the-Chain: Bootstrapping Large Language Models for Attacks Against Black-Box Neural Ranking Models

Yu-An Liu, Ruqing Zhang, Jiafeng Guo et al.

GCAD: Anomaly Detection in Multivariate Time Series from the Perspective of Granger Causality

Zehao Liu, Mengzhou Gao, Pengfei Jiao

IPRemover: A Generative Model Inversion Attack against Deep Neural Network Fingerprinting and Watermarking

Wei Zong, Yang-Wai Chow, Willy Susilo et al.

Offline Multi-Agent Reinforcement Learning via In-Sample Sequential Policy Optimization

Zongkai Liu, Qian Lin, Chao Yu et al.

Context-aware Graph Neural Network for Graph-based Fraud Detection with Extremely Limited Labels

Pengbo Li, Hang Yu, Xiangfeng Luo

PokerBench: Training Large Language Models to Become Professional Poker Players

Richard Zhuang, Akshat Gupta, Richard Yang et al.

Large-Scale Multi-Robot Coverage Path Planning via Local Search

Jingtao Tang, Hang Ma

DABL: Detecting Semantic Anomalies in Business Processes Using Large Language Models

Wei Guan, Jian Cao, Jianqi Gao et al.

Deep Evidential Hashing for Trustworthy Cross-Modal Retrieval

Yuan Li, Liangli Zhen, Yuan Sun et al.

EMHI: A Multimodal Egocentric Human Motion Dataset with HMD and Body-Worn IMUs

Zhen Fan, Peng Dai, Zhuo Su et al.

Non-flat ABA Is an Instance of Bipolar Argumentation

Markus Ulbricht, Nico Potyka, Anna Rapberger et al.

CFEVER: A Chinese Fact Extraction and VERification Dataset

Ying-Jia Lin, ChunYi Lin, Chia-Jen Yeh et al.

DiveR-CT: Diversity-enhanced Red Teaming Large Language Model Assistants with Relaxing Constraints

Andrew Zhao, Quentin Xu, Matthieu Lin et al.

Regret Analysis of Repeated Delegated Choice

Suho Shin, Keivan Rezaei, Mohammad Hajiaghayi et al.

MWSIS: Multimodal Weakly Supervised Instance Segmentation with 2D Box Annotations for Autonomous Driving

Guangfeng Jiang, Jun Liu, Yuzhi Wu et al.

Unlocking the Potential of Reverse Distillation for Anomaly Detection

Xinyue Liu, Jianyuan Wang, Biao Leng et al.

Out of Length Text Recognition with Sub-String Matching

Yongkun Du, Zhineng Chen, Caiyan Jia et al.

Time-Aware Knowledge Representations of Dynamic Objects with Multidimensional Persistence

Baris Coskunuzer, Ignacio Segovia-Dominguez, Yuzhou Chen et al.

HC-LLM: Historical-Constrained Large Language Models for Radiology Report Generation

Tengfei Liu, Jiapu Wang, Yongli Hu et al.

VQTalker: Towards Multilingual Talking Avatars Through Facial Motion Tokenization

Tao Liu, Ziyang Ma, Qi Chen et al.

Diffusion-based Synthetic Data Generation for Visible-Infrared Person Re-Identification

Wenbo Dai, Lijing Lu, Zhihang Li

When Are Two Lists Better than One?: Benefits and Harms in Joint Decision-Making

Kate Donahue, Sreenivas Gollapudi, Kostas Kollias

FaceMe: Robust Blind Face Restoration with Personal Identification

Siyu Liu, Zheng-Peng Duan, Jia OuYang et al.

High-Fidelity 3D Head Avatars Reconstruction through Spatially-Varying Expression Conditioned Neural Radiance Field

Minghan Qin, Yifan Liu, Yuelang Xu et al.

Accurate Link Prediction for Edge-Incomplete Graphs via PU Learning

Junghun Kim, Ka Hyun Park, Hoyoung Yoon et al.

TAMER: Tree-Aware Transformer for Handwritten Mathematical Expression Recognition

Jianhua Zhu, Wenqi Zhao, Yu Li et al.

Interactive Hyperparameter Optimization in Multi-Objective Problems via Preference Learning

Joseph Giovanelli, Alexander Tornede, Tanja Tornede et al.

FedGCR: Achieving Performance and Fairness for Federated Learning with Distinct Client Types via Group Customization and Reweighting

Shu-Ling Cheng, Chin-Yuan Yeh, Ting-An Chen et al.

An Efficient Knowledge Transfer Strategy for Spiking Neural Networks from Static to Event Domain

Xiang He, Dongcheng Zhao, Yang Li et al.

Mitigating Social Bias in Large Language Models: A Multi-Objective Approach Within a Multi-Agent Framework

Zhenjie Xu, Wenqing Chen, Yi Tang et al.

MaFeRw: Query Rewriting with Multi-Aspect Feedbacks for Retrieval-Augmented Large Language Models

Yujing Wang, Hainan Zhang, Liang Pang et al.

Backdoor Adjustment via Group Adaptation for Debiased Coupon Recommendations

Junpeng Fang, Gongduo Zhang, Qing Cui et al.

Spatial-Semantic Collaborative Cropping for User Generated Content

Yukun Su, Yiwen Cao, Jingliang Deng et al.

Incomplete Modality Disentangled Representation for Ophthalmic Disease Grading and Diagnosis

Chengzhi Liu, Zile Huang, Zhe Chen et al.

Diversity-Authenticity Co-constrained Stylization for Federated Domain Generalization in Person Re-identification

Fengxiang Yang, Zhun Zhong, Zhiming Luo et al.

VIoTGPT: Learning to Schedule Vision Tools Towards Intelligent Video Internet of Things

Yaoyao Zhong, Mengshi Qi, Rui Wang et al.

Does GCL Need a Large Number of Negative Samples? Enhancing Graph Contrastive Learning with Effective and Efficient Negative Sampling

Yongqi Huang, Jitao Zhao, Dongxiao He et al.

EBBS: An Ensemble with Bi-Level Beam Search for Zero-Shot Machine Translation

Yuqiao Wen, Behzad Shayegh, Chenyang Huang et al.

Optimal Survival Trees: A Dynamic Programming Approach

Tim Huisman, Jacobus van der Linden, Emir Demirović

Leveraging Consistent Spatio-Temporal Correspondence for Robust Visual Odometry

Zhaoxing Zhang, Junda Cheng, Gangwei Xu et al.

Taming Binarized Neural Networks and Mixed-Integer Programs

Johannes Aspman, Georgios Korpas, Jakub Marecek

Adaptive Few-shot Prompting for Machine Translation with Pre-trained Language Models

Lei Tang, Jinghui Qin, Wenxuan Ye et al.

Text2City: One-Stage Text-Driven Urban Layout Regeneration

Yiming Qin, Nanxuan Zhao, Bin Sheng et al.

F3-Pruning: A Training-Free and Generalized Pruning Strategy towards Faster and Finer Text-to-Video Synthesis

Sitong Su, Jianzhi Liu, Lianli Gao et al.

A Comprehensive Evaluation on Event Reasoning of Large Language Models

Zhengwei Tao, Zhi Jin, Yifan Zhang et al.

Robust Visual Imitation Learning with Inverse Dynamics Representations

Siyuan Li, Xun Wang, Rongchang Zuo et al.

Capture Global Feature Statistics for One-Shot Federated Learning

Zenghao Guan, Yucan Zhou, Xiaoyan Gu

Micro-macro Wavelet-based Gaussian Splatting for 3D Reconstruction from Unconstrained Images

Yihui Li, Chengxin Lv, Hongyu Yang et al.

A New Federated Learning Framework Against Gradient Inversion Attacks

Pengxin Guo, Shuang Zeng, Wenhao Chen et al.

Zero-Shot Scene Change Detection

Kyusik Cho, Dong Yeop Kim, Euntai Kim

Rethinking Pseudo-Label Guided Learning for Weakly Supervised Temporal Action Localization from the Perspective of Noise Correction

Quan Zhang, Yuxin Qi, Xi Tang et al.

Image Safeguarding: Reasoning with Conditional Vision Language Model and Obfuscating Unsafe Content Counterfactually

Mazal Bethany, Brandon Wherry, Nishant Vishwamitra et al.

Self-Supervised Bird’s Eye View Motion Prediction with Cross-Modality Signals

Shaoheng Fang, Zuhong Liu, Mingyu Wang et al.

Auto-Regressive Moving Diffusion Models for Time Series Forecasting

Jiaxin Gao, Qinglong Cao, Yuntian Chen

World Knowledge-Enhanced Reasoning Using Instruction-Guided Interactor in Autonomous Driving

Mingliang Zhai, Cheng Li, Zengyuan Guo et al.

Filter or Compensate: Towards Invariant Representation from Distribution Shift for Anomaly Detection

Zining Chen, Xingshuang Luo, Weiqiu Wang et al.

Taming the Sigmoid Bottleneck: Provably Argmaxable Sparse Multi-Label Classification

Andreas Grivas, Antonio Vergari, Adam Lopez

Just What You Desire: Constrained Timeline Summarization with Self-Reflection for Enhanced Relevance

Muhammad Reza Qorib, Qisheng Hu, Hwee Tou Ng

Building a Multi-modal Spatiotemporal Expert for Zero-shot Action Recognition with CLIP

Yating Yu, Congqi Cao, Yueran Zhang et al.

MergeNet: Knowledge Migration Across Heterogeneous Models, Tasks, and Modalities

Kunxi Li, Tianyu Zhan, Kairui Fu et al.

Boosting Fine-Grained Visual Anomaly Detection with Coarse-Knowledge-Aware Adversarial Learning

Qingqing Fang, Qinliang Su, Wenxi Lv et al.

Nearly Equitable Allocations beyond Additivity and Monotonicity

GNS: Solving Plane Geometry Problems by Neural-Symbolic Reasoning with Multi-Modal LLMs

Maizhen Ning, Zihao Zhou, Qiufeng Wang et al.

OpenViewer: Openness-Aware Multi-View Learning

Shide Du, Zihan Fang, Yanchao Tan et al.

SVGBuilder: Component-Based Colored SVG Generation with Text-Guided Autoregressive Transformers

Zehao Chen, Rong Pan

Towards Unifying Evaluation of Counterfactual Explanations: Leveraging Large Language Models for Human-Centric Assessments

Marharyta Domnich, Julius Välja, Rasmus Moorits Veski et al.

Evaluating LLM Reasoning in the Operations Research Domain with ORQA

Mahdi Mostajabdaveh, Timothy Tin Long Yu, Samarendra Chandan Bindu Dash et al.

Alleviate and Mining: Rethinking Unsupervised Domain Adaptation for Mitochondria Segmentation from Pseudo-Label Perspective

Yujia Chen, Rui Sun, Wangkai Li et al.

CAPrompt: Cyclic Prompt Aggregation for Pre-Trained Model Based Class Incremental Learning

Qiwei Li, Jiahuan Zhou

3D-RPE: Enhancing Long-Context Modeling Through 3D Rotary Position Encoding

Xindian Ma, Wenyuan Liu, Peng Zhang et al.

1/2-Approximate MMS Allocation for Separable Piecewise Linear Concave Valuations

Chandra Chekuri, Pooja Kulkarni, Rucha Kulkarni et al.

NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning

Bo Xiong, Mojtaba Nayyeri, Linhao Luo et al.

Temporal-Distributed Backdoor Attack against Video Based Action Recognition

Xi Li, Songhe Wang, Ruiquan Huang et al.

WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets

Zhirui Yang, Yulan Hu, Sheng Ouyang et al.

DanceFix: An Exploration in Group Dance Neatness Assessment Through Fixing Abnormal Challenges of Human Pose

Huangbiao Xu, Xiao Ke, Huanqi Wu et al.

COLUMBUS: Evaluating COgnitive Lateral Understanding Through Multiple-Choice reBUSes

Koen Kraaijveld, Yifan Jiang, Kaixin Ma et al.

Multi-Modal Grounded Planning and Efficient Replanning for Learning Embodied Agents with a Few Examples

Taewoong Kim, Byeonghwi Kim, Jonghyun Choi

Backdoor Token Unlearning: Exposing and Defending Backdoors in Pretrained Language Models

Peihai Jiang, Xixiang Lyu, Yige Li et al.

KeDuSR: Real-World Dual-Lens Super-resolution via Kernel-Free Matching

Huanjing Yue, Zifan Cui, Kun Li et al.

Weakly Supervised Few-Shot Object Detection with DETR

Chenbo Zhang, Yinglu Zhang, Lu Zhang et al.

LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate

Tao Wu, Tie Luo, D. C. Wunsch

Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation

YoungJoon Yoo, Jongwon Choi

Gradient Weight-normalized Low-rank Projection for Efficient LLM Training

Jia-Hong Huang, Yixian Shen, Hongyi Zhu et al.

CoPRA: Bridging Cross-domain Pretrained Sequence Models with Complex Structures for Protein-RNA Binding Affinity Prediction

Rong Han, Xiaohong Liu, Tong Pan et al.

Graph Learning in 4D: A Quaternion-Valued Laplacian to Enhance Spectral GCNs

Stefano Fiorini, Stefano Coniglio, Michele Ciavotta et al.

Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation

Louis Mahon, Thomas Lukasiewicz

CVLUE: A New Benchmark Dataset for Chinese Vision-Language Understanding Evaluation

Yuxuan Wang, Yijun Liu, Fei Yu et al.

PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation

Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor

Han Liu, Siyang Zhao, Xiaotong Zhang et al.

Generalized Dimension Reduction Using Semi-Relaxed Gromov-Wasserstein Distance

Ranthony A. Clark, Tom Needham, Thomas Weighill

MimiQ: Low-Bit Data-Free Quantization of Vision Transformers with Encouraging Inter-Head Attention Similarity

Kanghyun Choi, Hyeyoon Lee, Dain Kwon et al.

Fine-Grained Multi-View Hand Reconstruction Using Inverse Rendering

Qijun Gan, Wentong Li, Jinwei Ren et al.

Unsupervised Pan-Sharpening via Mutually Guided Detail Restoration

Huangxing Lin, Yuhang Dong, Xinghao Ding et al.

Doubly Contrastive Learning for Source-Free Domain Adaptive Person Search

Yizhen Jia, Rong Quan, Yue Feng et al.

Understanding Individual Agent Importance in Multi-Agent System via Counterfactual Reasoning

Jianming Chen, Yawen Wang, Junjie Wang et al.

MVReward: Better Aligning and Evaluating Multi-View Diffusion Models with Human Preferences

Weitao Wang, Haoran Xu, Yuxiao Yang et al.

Enhancing Uncertainty Modeling with Semantic Graph for Hallucination Detection

Kedi Chen, Qin Chen, Jie Zhou et al.

Weak Distribution Detectors Lead to Stronger Generalizability of Vision-Language Prompt Tuning

Kun Ding, Haojian Zhang, Qiang Yu et al.

Structural Information Guided Multimodal Pre-training for Vehicle-Centric Perception

Xiao Wang, Wentao Wu, Chenglong Li et al.

Alignment-Free RGB-T Salient Object Detection: A Large-Scale Dataset and Progressive Correlation Network

Kunpeng Wang, Keke Chen, Chenglong Li et al.

Zero-shot Video Restoration and Enhancement Using Pre-Trained Image Diffusion Model

Cong Cao, Huanjing Yue, Xin Liu et al.

The Bandit Whisperer: Communication Learning for Restless Bandits

Yunfan Zhao, Tonghan Wang, Dheeraj Mysore Nagaraj et al.

A Theory of Non-acyclic Generative Flow Networks

Leo Brunswic, Yinchuan Li, Yushun Xu et al.

SpotActor: Training-Free Layout-Controlled Consistent Image Generation

Jiahao Wang, Caixia Yan, Weizhan Zhang et al.

Hand-Centric Motion Refinement for 3D Hand-Object Interaction via Hierarchical Spatial-Temporal Modeling

Yuze Hao, Jianrong Zhang, Tao Zhuo et al.

SVasP: Self-Versatility Adversarial Style Perturbation for Cross-Domain Few-Shot Learning

Wenqian Li, Pengfei Fang, Hui Xue

Multi-Agent Motion Planning for Differential Drive Robots Through Stationary State Search

Jingtian Yan, Jiaoyang Li

Generative Model-Based Feature Knowledge Distillation for Action Recognition

Guiqin Wang, Peng Zhao, Yanjiang Shi et al.

Target-Driven Distillation: Consistency Distillation with Target Timestep Selection and Decoupled Guidance

Cunzheng Wang, Ziyuan Guo, Yuxuan Duan et al.

Towards the Disappearing Truth: Fine-Grained Joint Causal Influences Learning with Hidden Variable-Driven Causal Hypergraphs

Kun Zhu, Chunhui Zhao

Generalizable Sensor-Based Activity Recognition via Categorical Concept Invariant Learning

Di Xiong, Shuoyuan Wang, Lei Zhang et al.

Fully Test-time Adaptation for Tabular Data

Zhi Zhou, Kun-Yang Yu, Lan-Zhe Guo et al.

Multi-Modal Disordered Representation Learning Network for Description-Based Person Search

Fan Yang, Wei Li, Menglong Yang et al.

Learning Image Demoireing from Unpaired Real Data

Yunshan Zhong, Zhou Yuyao, Yuxin Zhang et al.

Your Career Path Matters in Person-Job Fit

Zhuocheng Gong, Yang Song, Tao Zhang et al.

DAG-Aware Variational Autoencoder for Social Propagation Graph Generation

Dongpeng Hou, Chao Gao, Xuelong Li et al.

Noisy Label Calibration for Multi-View Classification

Shilin Xu, Yuan Sun, Xingfeng Li et al.

Optimizing ADMM and Over-Relaxed ADMM Parameters for Linear Quadratic Problems

Song Jintao, Wenqi Lu, Yunwen Lei et al.

Removing Interference and Recovering Content Imaginatively for Visible Watermark Removal

Yicheng Leng, Chaowei Fang, Gen Li et al.

Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability

Seokhyeon Ha, Sunbeom Jeong, Jungwoo Lee

Loosely Synchronized Rule-Based Planning for Multi-Agent Path Finding with Asynchronous Actions

Shuai Zhou, Shizhe Zhao, Zhongqiang Ren

AI-generated Image Quality Assessment in Visual Communication

Yu Tian, Yixuan Li, Baoliang Chen et al.

Dealing with Numeric and Metric Time Constraints in PDDL3 via Compilation to Numeric Planning

Luigi Bonassi, Alfonso Emilio Gerevini, Enrico Scala

Instruction-Augmented Long-Horizon Planning: Embedding Grounding Mechanisms in Embodied Mobile Manipulation

Fangyuan Wang, Shipeng Lyu, Peng Zhou et al.

Anchoring Path for Inductive Relation Prediction in Knowledge Graphs

Zhixiang Su, Di Wang, Chunyan Miao et al.

Towards Inductive Robustness: Distilling and Fostering Wave-Induced Resonance in Transductive GCNs against Graph Adversarial Attacks

Ao Liu, Wenshan Li, Tao Li et al.

Safe Planner: Empowering Safety Awareness in Large Pre-Trained Models for Robot Task Planning

Siyuan Li, Feifan Liu, Lingfei Cui et al.

Assessing Pre-Trained Models for Transfer Learning Through Distribution of Spectral Components

Tengxue Zhang, Yang Shu, Xinyang Chen et al.

Spiking Point Transformer for Point Cloud Classification

Peixi Wu, Bosong Chai, Hebei Li et al.

Int2Planner: An Intention-based Multi-modal Motion Planner for Integrated Prediction and Planning

Xiaolei Chen, Junchi Yan, Wenlong Liao et al.

NeBLa: Neural Beer-Lambert for 3D Reconstruction of Oral Structures from Panoramic Radiographs

Sihwa Park, Seongjun Kim, Doeyoung Kwon et al.

ConVQG: Contrastive Visual Question Generation with Multimodal Guidance

Li Mi, Syrielle Montariol, Javiera Castillo Navarro et al.

Can Students Beyond the Teacher? Distilling Knowledge from Teacher’s Bias

Jianhua Zhang, Yi Gao, Ruyu Liu et al.

Measuring Cross-Modal Interactions in Multimodal Models

Laura Wenderoth, Konstantin Hemker, Nikola Simidjievski et al.

Beyond Human Data: Aligning Multimodal Large Language Models by Iterative Self-Evolution

Wentao Tan, Qiong Cao, Yibing Zhan et al.

Adaptive Computation Modules: Granular Conditional Computation for Efficient Inference

Bartosz Wójcik, Alessio Devoto, Karol Pustelnik et al.

Dimension Reduction with Locally Adjusted Graphs

Yingfan Wang, Yiyang Sun, Haiyang Huang et al.

Sparse Variational Student-t Processes

Jian Xu, Delu Zeng

Long-Term EEG Partitioning for Seizure Onset Detection

Zheng Chen, Yasuko Matsubara, Yasushi Sakurai et al.

Learning the Causal Structure of Networked Dynamical Systems under Latent Nodes and Structured Noise

Augusto Santos, Diogo Rente, Rui Seabra et al.

Neural Amortized Inference for Nested Multi-Agent Reasoning

Kunal Jha, Tuan Anh Le, Chuanyang Jin et al.

TPCH: Tensor-interacted Projection and Cooperative Hashing for Multi-view Clustering

Zhongwen Wang, Xingfeng Li, Yinghui Sun et al.

H-ensemble: An Information Theoretic Approach to Reliable Few-Shot Multi-Source-Free Transfer

Yanru Wu, Jianning Wang, Weida Wang et al.

Probabilistic Neural Circuits

Pedro Zuidberg Dos Martires

Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning

Zeyang Liu, Lipeng Wan, Xinrui Yang et al.

On the Expressiveness and Length Generalization of Selective State Space Models on Regular Languages

Aleksandar Terzic, Michael Hersche, Giacomo Camposampiero et al.

Learning Complex Heterogeneous Multimodal Fake News via Social Latent Network Inference

Mingxin Li, Yuchen Zhang, Haowei Xu et al.

Towards Running Time Analysis of Interactive Multi-Objective Evolutionary Algorithms

Tianhao Lu, Chao Bian, Chao Qian

Factor Augmented Tensor-on-Tensor Neural Networks

Guanhao Zhou, Yuefeng Han, Xiufan Yu

Double-Bounded Optimal Transport for Advanced Clustering and Classification

Liangliang Shi, Zhaoqi Shen, Junchi Yan

Terrain Diffusion Network: Climatic-Aware Terrain Generation with Geological Sketch Guidance

Zexin Hu, Kun Hu, Clinton Mo et al.

Medical Multimodal Model Stealing Attacks via Adversarial Domain Alignment

Yaling Shen, Zhixiong Zhuang, Kun Yuan et al.

Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes

Ruihao Gong, Yang Yong, Zining Wang et al.

On Computing Makespan-Optimal Solutions for Generalized Sliding-Tile Puzzles

Marcus Gozon, Jingjin Yu

ALISON: Fast and Effective Stylometric Authorship Obfuscation

Eric Xing, Saranya Venkatraman, Thai Le et al.

MCSSME: Multi-Task Contrastive Learning for Semi-supervised Singing Melody Extraction from Polyphonic Music

Shuai Yu

Error Bounds for Gaussian Process Regression Under Bounded Support Noise with Applications to Safety Certification

Robert Reed, Luca Laurenti, Morteza Lahijanian

Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants

Wei Chen, Zhiyi Huang, Ruichu Cai et al.

Learned Image Transmission with Hierarchical Variational Autoencoder

Guangyi Zhang, Hanlei Li, Yunlong Cai et al.

AdaDPCC: Adaptive Rate Control and Rate-Distortion-Complexity Optimization for Dynamic Point Cloud Compression

Chenhao Zhang, Wei Gao

Accelerating the Global Aggregation of Local Explanations

Alon Mor, Yonatan Belinkov, Benny Kimelfeld

FPRF: Feed-Forward Photorealistic Style Transfer of Large-Scale 3D Neural Radiance Fields

GeonU Kim, Kim Youwang, Tae-Hyun Oh

Limited Query Graph Connectivity Test

Mingyu Guo, Jialiang Li, Aneta Neumann et al.