Most Cited AAAI "curriculum-based reinforcement learning" Papers
5,317 papers found • Page 12 of 27
Conference
Scalable Knowledge Refactoring Using Constrained Optimisation
Minghao Liu, David M. Cerna, Filipe Gouveia et al.
Reasoning About Actual Causes in Nondeterministic Domains
Shakil M. Khan, Yves Lespérance, Maryam Rostamigiv
DGFamba: Learning Flow Factorized State Space for Visual Domain Generalization
Qi Bi, Jingjun Yi, Hao Zheng et al.
Efficient Indoor Depth Completion Network Using Mask-adaptive Gated Convolution
Tingxuan Huang, Jiacheng Miao, Shizhuo Deng et al.
10725 SAT-Based Tree Decomposition with Iterative Cascading Policy Selection
Hai Xia, Stefan Szeider
Query-centric Audio-Visual Cognition Network for Moment Retrieval, Segmentation and Step-Captioning
Yunbin Tu, Liang Li, Li Su et al.
Cooperative Knowledge Distillation: A Learner Agnostic Approach
Michael Livanos, Ian Davidson, Stephen Wong
MYOPIA: Protecting Face Privacy from Malicious Personalized Text-to-Image Synthesis via Unlearnable Examples
Zhihao Wu, Yushi Cheng, Tianyang Sun et al.
ConDo: Continual Domain Expansion for Absolute Pose Regression
Zijun Li, Zhipeng Cai, Bochun Yang et al.
Implications of Distance over Redistricting Maps: Central and Outlier Maps
Seyed Esmaeili, Darshan Chakraborty, Hayley Grape et al.
Efficient Language-instructed Skill Acquisition via Reward-Policy Co-Evolution
Changxin Huang, Yanbin Chang, Junfan Lin et al.
The Moderating Effect of Instant Runoff Voting
Kiran Tomlinson, Johan Ugander, Jon Kleinberg
Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable Guarantees
Jinzhao Li, Nan Jiang, Yexiang Xue
Decomposing and Fusing Intra- and Inter-Sensor Spatio-Temporal Signal for Multi-Sensor Wearable Human Activity Recognition
Haoyu Xie, Haoxuan Li, Chunyuan Zheng et al.
BrainMAP: Learning Multiple Activation Pathways in Brain Networks
Song Wang, Zhenyu Lei, Zhen Tan et al.
Density Matters: Improved Core-Set for Active Domain Adaptive Segmentation
Shizhan Liu, Zhengkai Jiang, Yuxi Li et al.
Modality-Aware Shot Relating and Comparing for Video Scene Detection
Jiawei Tan, Hongxing Wang, Kang Dang et al.
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting
Fan Zhou, Chen Pan, Lintao Ma et al.
Multiple Hypothesis Dropout: Estimating the Parameters of Multi-Modal Output Distributions
David Nguyen, David Liebowitz, Salil Kanhere et al.
First Line of Defense: A Robust First Layer Mitigates Adversarial Attacks
Janani Suresh, Nancy Nayak, Sheetal Kalyani
RealisID: Scale-Robust and Fine-Controllable Identity Customization via Local and Global Complementation
Zhaoyang Sun, Fei Du, Weihua Chen et al.
Confounding-Robust Deferral Policy Learning
Ruijiang Gao, Mingzhang Yin
CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning
Chenyu Sun, Hangwei Qian, Chunyan Miao
Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding
Guangyin Bao, Qi Zhang, Zixuan Gong et al.
Pre-training a Density-Aware Pose Transformer for Robust LiDAR-based 3D Human Pose Estimation
Xiaoqi An, Lin Zhao, Chen Gong et al.
Replicating Electoral Success
Kiran Tomlinson, Tanvi Namjoshi, Johan Ugander et al.
Social-Aware Group Display Configuration in VR Conference
Bay-Yuan Hsu, Chih-Ya Shen, Hao Shan Yuan et al.
Bayesian Persuasion with Externalities: Exploiting Agent Types
Jonathan Shaki, Jiarui Gan, Sarit Kraus
Context-Aware Iteration Policy Network for Efficient Optical Flow Estimation
Ri Cheng, Ruian He, Xuhao Jiang et al.
Multi-Apartment Rent Division
Ariel D. Procaccia, Benjamin Schiffer, Shirley Zhang
Responding to the Call: Exploring Automatic Music Composition Using a Knowledge-Enhanced Model
Zhejing Hu, Yan Liu, Gong Chen et al.
Strategyproof Matching of Roommates and Rooms
Hadi Hosseini, Shivika Narang, Sanjukta Roy
Reducing Leximin Fairness to Utilitarian Optimization
Eden Hartman, Yonatan Aumann, Avinatan Hassidim et al.
Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model
Mingxin Li, Richong Zhang, Zhijie Nie et al.
SKI Models: Skeleton Induced Vision-Language Embeddings for Understanding Activities of Daily Living
Arkaprava Sinha, Dominick Reilly, Francois Bremond et al.
Get a Head Start: On-Demand Pedagogical Policy Selection in Intelligent Tutoring
Ge Gao, Xi Yang, Min Chi
GRICP: Granular-Ball Iterative Closest Point with Multikernel Correntropy for Point Cloud Fine Registration
Yihao, Limei Hu, Feng Chen et al.
Eliminating Majority Illusion Is Easy
Jack Dippel, Max Dupré la Tour, April Niu et al.
Trend-Aware Supervision: On Learning Invariance for Semi-supervised Facial Action Unit Intensity Estimation
Yingjie Chen, Jiarui Zhang, Tao Wang et al.
Strategic Network Creation for Enabling Greedy Routing
Julian Berger, Tobias Friedrich, Pascal Lenzner et al.
Generalising Planning Environment Redesign
Alberto Pozanco, Ramon Fraga Pereira, Daniel Borrajo
CoDTS: Enhancing Sparsely Supervised Collaborative Perception with a Dual Teacher-Student Framework
Yushan Han, Hui Zhang, Honglei Zhang et al.
Modeling Stereo-Confidence out of the End-to-End Stereo-Matching Network via Disparity Plane Sweep
Jae Young Lee, Woonghyun Ka, Jaehyun Choi et al.
Provable Discriminative Hyperspherical Embedding for Out-of-Distribution Detection
Zhipeng Zou, Sheng Wan, Guangyu Li et al.
Boosting Segment Anything Model Towards Open-Vocabulary Learning
Xumeng Han, Longhui Wei, Xuehui Yu et al.
ISPDiffuser: Learning RAW-to-sRGB Mappings with Texture-Aware Diffusion Models and Histogram-Guided Color Consistency
Yang Ren, Hai Jiang, Menglong Yang et al.
ProPose: Probabilistic 3D Human Pose Estimation with Instance-Level Distribution and Normalizing Flow
Jumin Han, Jun-Hee Kim, Seong-Whan Lee
ST-ReP: Learning Predictive Representations Efficiently for Spatial-Temporal Forecasting
Qi Zheng, Zihao Yao, Yaying Zhang
Motif Guided Graph Transformers with Combinatorial Skeleton Prototype Learning for Skeleton-Based Person Re-Identification
Haocong Rao, Chunyan Miao
DDAE: Towards Deep Dynamic Vision BERT Pretraining
1953 Honghao Chen, Xiangwen Kong, Xiangyu Zhang et al.
Fair Participation via Sequential Policies
Reilly Raab, Ross Boczar, Maryam Fazel et al.
Teacher-guided Edge Discriminator for Personalized Graph Masked Autoencoder
Qiqi Zhang, Chao Li, Zhongying Zhao
Personalized Dynamic Music Emotion Recognition with Dual-Scale Attention-Based Meta-Learning
Dengming Zhang, Weitao You, Ziheng Liu et al.
Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging
Hilal AlQuabeh, William de Vazelhes, Bin Gu
Normalize Then Propagate: Efficient Homophilous Regularization for Few-Shot Semi-Supervised Node Classification
Baoming Zhang, MingCai Chen, Jianqing Song et al.
Improving GNN Calibration with Discriminative Ability: Insights and Strategies
Yujie Fang, Xin Li, Qianyu Chen et al.
Moral Uncertainty and the Problem of Fanaticism
Jazon Szabo, Natalia Criado, Jose Such et al.
Multi-Label Supervised Contrastive Learning
Pingyue Zhang, Mengyue Wu
Anatomical Knowledge Mining and Matching for Semi-supervised Medical Multi-structure Detection
Bin Pu, Liwen Wang, Jiewen Yang et al.
Diffusion-based Semantic Outlier Generation via Nuisance Awareness for Out-of-Distribution Detection
Suhee Yoon, Sanghyu Yoon, Ye Seul Sim et al.
Cross-Spectral Gaussian Splatting with Spatial Occupancy Consistency
Haipeng Guo, Huanyu Liu, Jiazheng Wen et al.
Correlation-Attention Masked Temporal Transformer for User Identity Linkage Using Heterogeneous Mobility Data
Ziang Yan, Xingyu Zhao, Hanqing Ma et al.
Out-of-Distribution Generalization on Graphs via Progressive Inference
Yiming Xu, Bin Shi, Zhen Peng et al.
Towards Unbiased Information Extraction and Adaptation in Cross-Domain Recommendation
Yibo Wang, Yingchun Jian, Wenhao Yang et al.
Intent Oriented Contrastive Learning for Sequential Recommendation
Wuhong Wang, Jianhui Ma, Yuren Zhang et al.
M^3EL: A Multi-task Multi-topic Dataset for Multi-modal Entity Linking
Fang Wang, Shenglin Yin, Xiaoying Bai et al.
POI Recommendation via Multi-Objective Adversarial Imitation Learning
Zhenglin Wan, Anjun Gao, Xingrui Yu et al.
NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation
Abbvavaram Gowtham Reddy, Vineeth N Balasubramanian
Rethinking Masked Data Reconstruction Pretraining for Strong 3D Action Representation Learning
Tao Gong, Qi Chu, Bin Liu et al.
Label-Efficient Data Augmentation with Video Diffusion Models for Guidewire Segmentation in Cardiac Fluoroscopy
Shaoyan Pan, Yikang Liu, Lin Zhao et al.
Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning
Anjie Zhu, Peng-Fei Zhang, Ruihong Qiu et al.
EDGE: Unknown-aware Multi-label Learning by Energy Distribution Gap Expansion
Yuchen Sun, Qianqian Xu, Zitai Wang et al.
Dual-calibrated Co-training Framework for Personalized Federated Semi-Supervised Medical Image Segmentation
Delin Pan, Jiansong Fan, Jie Zhu et al.
Root Cause Explanation of Outliers under Noisy Mechanisms
Phuoc Nguyen, Truyen Tran, Sunil Gupta et al.
Unveiling Multi-View Anomaly Detection: Intra-view Decoupling and Inter-view Fusion
Kai Mao, Yiyang Lian, Yangyang Wang et al.
S²DN: Learning to Denoise Unconvincing Knowledge for Inductive Knowledge Graph Completion
Tengfei Ma, Yujie Chen, Liang Wang et al.
Sample-and-Bound for Non-convex Optimization
Yaoguang Zhai, Zhizhen Qin, Sicun Gao
Efficient Image-to-Image Diffusion Classifier for Adversarial Robustness
Hefei Mei, Minjing Dong, Chang Xu
Enhancing Healthcare Recommendations: A Privacy-Protective and Interpretable Cross-Domain Framework
Xun Liang, Zhiying Li, Hongxun Jiang
Relaxed Class-consensus Consistency for Semi-supervised Semantic Segmentation
Huayu Mai, Rui Sun, Feng Wu
Focus Stacking with High Fidelity and Superior Visual Effects
Bo Liu, Bin Hu, Xiuli Bi et al.
Exploiting Fine-Grained Skip Behaviors for Micro-Video Recommendation
Sanghyuck Lee, Sangkeun Park, Jaesung Lee
Does GPT Really Get It? A Hierarchical Scale to Quantify Human and AI’s Understanding of Algorithms
Mirabel Reid, Santosh S. Vempala
Revisiting Open-Set Panoptic Segmentation
Yufei Yin, Hao Chen, Wengang Zhou et al.
Design Graph Guided Element Importance-Aware Layout Generation with Multi-Modality Cascade Transformer
Qiuyun Zhang, Bin Guo, Lina Yao et al.
HePa: Heterogeneous Graph Prompting for All-Level Classification Tasks
Jia Jinghong, Lei Song, Jiaxing Li et al.
Reducing Spatial Fitting Error in Distillation of Denoising Diffusion Models
Shengzhe Zhou, Zejian Li, Shengyuan Zhang et al.
Infer the Whole from a Glimpse of a Part: Keypoint-Based Knowledge Graph for Vehicle Re-Identification
Kai Lv, Yunlong Li, Zhuo Chen et al.
How to Re-enable PDE Loss for Physical Systems Modeling Under Partial Observation
Haodong Feng, Yue Wang, Dixia Fan
A Score-Based Deterministic Diffusion Algorithm with Smooth Scores for General Distributions
Karthik Elamvazhuthi, Xuechen Zhang, Matthew Jacobs et al.
Neural Network Approximation for Pessimistic Offline Reinforcement Learning
Di Wu, Yuling Jiao, Li Shen et al.
Forecasting Bimanual Object Manipulation Sequences from Unimanual Observations
Haziq Razali, Yiannis Demiris
GeoAggregator: An Efficient Transformer Model for Geo-Spatial Tabular Data
Rui Deng, Ziqi Li, Mingshu Wang
Combating Semantic Contamination in Learning with Label Noise
Wenxiao Fan, Kan Li
No More Tuning: Prioritized Multi-Task Learning with Lagrangian Differential Multiplier Methods
Zhengxing Cheng, Yuheng Huang, Zhixuan Zhang et al.
Automatic Core-Guided Reformulation via Constraint Explanation and Condition Learning
Kevin Leo, Graeme Gange, M. G. D. L. Banda et al.
Sketched Newton Value Iteration for Large-Scale Markov Decision Processes
Jinsong Liu, Chenghan Xie, Qi Deng et al.
EventPillars: Pillar-based Efficient Representations for Event Data
Rui Fan, Weidong Hao, Juntao Guan et al.
CUGF: A Reliable and Fair Recommendation Framework
Nitin Bisht, Xiuwen Gong, Guandong Xu
GeoPro-Net: Learning Interpretable Spatiotemporal Prediction Models Through Statistically-Guided Geo-Prototyping
Bang An, Xun Zhou, Zirui Zhou et al.
Prediction-Based Adaptive Variable Ordering Heuristics for Constraint Satisfaction Problems
Jitao Xu, Yaling Wu, Hongbo Li et al.
Effect Size Estimation for Duration Recommendation in Online Experiments: Leveraging Hierarchical Models and Objective Utility Approaches
Yu Liu, Runzhe Wan, James McQueen et al.
Certifying Bounds Propagation for Integer Multiplication Constraints
Matthew J. McIlree, Ciaran McCreesh
DiverSAT: A Novel and Effective Local Search Algorithm for Diverse SAT Problem
Jiaxin Liang, Junping Zhou, Minghao Yin
Langevin Multiplicative Weights Update with Applications in Polynomial Portfolio Management
Yi Feng, Xiao Wang, Tian Xie
Complete Symmetry Breaking for Finite Models
Marek Dančo, Mikoláš Janota, Michael Codish et al.
Exploiting Symmetries in MUS Computation
Ignace Bleukx, Hélène Verhaeghe, Bart Bogaerts et al.
Cirbo: A New Tool for Boolean Circuit Analysis and Synthesis
Daniil Averkov, Tatiana Belova, Gregory Emdin et al.
Layer Compression of Deep Networks with Straight Flows
Chengyue Gong, Xiaocong Du, Bhargav Bhushanam et al.
DreaMark: Rooting Watermark in Score Distillation Sampling Generated Neural Radiance Fields
Xingyu Zhu, Xiapu Luo, Xuetao Wei
Attend and Enrich: Enhanced Visual Prompt for Zero-Shot Learning
Man Liu, Huihui Bai, Feng Li et al.
SAT-Based Techniques for Lexicographically Smallest Finite Models
Mikoláš Janota, Choiwah Chow, João Araújo et al.
Adaptive Prototype Replay for Class Incremental Semantic Segmentation
Guilin Zhu, Dongyue Wu, Changxin Gao et al.
Multi-Label Few-Shot Image Classification via Pairwise Feature Augmentation and Flexible Prompt Learning
Han Liu, Yuanyuan Wang, Xiaotong Zhang et al.
Towards Macro-AUC Oriented Imbalanced Multi-Label Continual Learning
Yan Zhang, Guoqiang Wu, Bingzheng Wang et al.
Perturbating, Tuning, and Collaborating: Harnessing Vision Foundation Models for Single Domain Generalization on Medical Imaging
Chuang Liu, Yichao Cao, YingYing Zhang et al.
Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings
Jihyeon Seong, Jungmin Kim, Jaesik Choi
Neural Collapse Inspired Knowledge Distillation
Shuoxi Zhang, Zijian Song, Kun He
Towards Ship License Plate Recognition in the Wild: A Large Benchmark and Strong Baseline
Baolong Liu, Ruiqing Yang, Roukai Huang et al.
Unlocking the Potential of Black-box Pre-trained GNNs for Graph Few-shot Learning
Qiannan Zhang, Shichao Pei, Yuan Fang et al.
Compose with Me: Collaborative Music Inpainter for Symbolic Music Infilling
Zhejing Hu, Yan Liu, Gong Chen et al.
GLCF: A Global-Local Multimodal Coherence Analysis Framework for Talking Face Generation Detection
Xiaocan Chen, Qilin Yin, Jiarui Liu et al.
Blend the Separated: Mixture of Synergistic Experts for Data-Scarcity Drug-Target Interaction Prediction
Xinlong Zhai, Chunchen Wang, Ruijia Wang et al.
Class Semantic Attribute Perception Guided Zero-Shot Learning
Qin Yue, Junbiao Cui, Jianqing Liang et al.
Treasures in Discarded Weights for LLM Quantization
Hao Yu, Yang Zhou, Bohua Chen et al.
Speed Master: Quick or Slow Play to Attack Speaker Recognition
Zhe Ye, Wenjie Zhang, Ying Ren et al.
Leveraging RGB-D Data with Cross-Modal Context Mining for Glass Surface Detection
Jiaying Lin, Yuen-Hei Yeung, Shuquan Ye et al.
Asynchronous Distributed Gaussian Process Regression
Zewen Yang, Xiaobing Dai, Sandra Hirche
Hierarchical Cross-Modal Alignment for Open-Vocabulary 3D Object Detection
Youjun Zhao, Jiaying Lin, Rynson W. H. Lau
Zero-Shot Task Adaptation with Relevant Feature Information
Atsutoshi Kumagai, Tomoharu Iwata, Yasuhiro Fujiwara
EventZoom: A Progressive Approach to Event-Based Data Augmentation for Enhanced Neuromorphic Vision
Yiting Dong, Xiang He, Guobin Shen et al.
Hybrid Data-Free Knowledge Distillation
Jialiang Tang, Shuo Chen, Chen Gong
Hybrid Decentralized Optimization: Leveraging Both First- and Zeroth-Order Optimizers for Faster Convergence
Shayan Talaei, Matin Ansaripour, Giorgi Nadiradze et al.
Memory-Reduced Meta-Learning with Guaranteed Convergence
Honglin Yang, Ji Ma, Xiao Yu
Learn How to Query from Unlabeled Data Streams in Federated Learning
Yuchang Sun, Xinran Li, Tao Lin et al.
Single-view Image to Novel-view Generation for Hand-Object Interactions
Zhongqun Zhang, Yihua Cheng, Eduardo Pérez-Pellitero et al.
Robust Heterogeneous Graph Classification for Molecular Property Prediction with Information Bottleneck
Zhibin Ni, Chang Liu, Hai Wan et al.
Beyond Skip Connection: Pooling and Unpooling Design for Elimination Singularities
Chengkun Sun, Jinqian Pan, Zhuoli Jin et al.
NoiseHGNN: Synthesized Similarity Graph-Based Neural Network for Noised Heterogeneous Graph Representation Learning
Zhang Xiong, Cheng Xie, Haoran Duan et al.
Online Nonsubmodular Optimization with Delayed Feedback in the Bandit Setting
Sifan Yang, Yuanyu Wan, Lijun Zhang
Enhanced Denesity Peak Clustering for High-Dimensional Data
Zhongli Wang, Jie Yang, Junyi Guan et al.
Digging into Intrinsic Contextual Information for High-fidelity 3D Point Cloud Completion
Jisheng Chu, Wenrui Li, Xingtao Wang et al.
Highly Efficient Rotation-Invariant Spectral Embedding for Scalable Incomplete Multi-View Clustering
Xinxin Wang, Yongshan Zhang, Yicong Zhou
Noisy Correspondence Rectification via Asymmetric Similarity Learning
Yunbo Wang, YuJie Wu, Zhien Dai et al.
Agent-Aware Training for Agent-Agnostic Action Advising in Deep Reinforcement Learning
Yaoquan Wei, Shunyu Liu, Jie Song et al.
Global-Semantic Alignment Distillation for Partial Multi-view Classification
Xiaoli Wang, Anqi Huang, Yongli Wang et al.
APAR: Modeling Irregular Target Functions in Tabular Regression via Arithmetic-Aware Pre-Training and Adaptive-Regularized Fine-Tuning
Hong-Wei Wu, Wei-Yao Wang, Kuang-Da Wang et al.
Pushing the Limits of BFP on Narrow Precision LLM Inference
Hui Wang, Yuan Cheng, Xiaomeng Han et al.
Dynamic Uncertainty Estimation for Offline Reinforcement Learning
Jiesheng Wang, Lin Li, Wei Wei et al.
SGDiff: Scene Graph Guided Diffusion Model for Image Collaborative SegCaptioning
Xu Zhang, Jin Yuan, Hanwang Zhang et al.
Investigating Relational State Abstraction in Collaborative MARL
Sharlin Utke, Jeremie Houssineau, Giovanni Montana
From Logistic Regression to the Perceptron Algorithm: Exploring Gradient Descent with Large Step Sizes
Alexander Tyurin
Epistemic Bellman Operators
Pascal R. van der Vaart, Matthijs T. J. Spaan, Neil Yorke-Smith
GoBERT: Gene Ontology Graph Informed BERT for Universal Gene Function Prediction
Yuwei Miao, Yuzhi Guo, Hehuan Ma et al.
SMoSE: Sparse Mixture of Shallow Experts for Interpretable Reinforcement Learning in Continuous Control Tasks
Mátyás Vincze, Laura Ferrarotti, Leonardo Lucio Custode et al.
Know2Vec: A Black-Box Proxy for Neural Network Retrieval
Zhuoyi Shang, Yanwei Liu, Jinxia Liu et al.
REM: A Scalable Reinforced Multi-Expert Framework for Multiplex Influence Maximization
Huyen Nguyen, Hieu Dam, Nguyen Hoang Khoi Do et al.
DisCo-DSO: Coupling Discrete and Continuous Optimization for Efficient Generative Design in Hybrid Spaces
Jacob F. Pettit, Chak Shing Lee, Jiachen Yang et al.
General Uncertainty Estimation with Delta Variances
Simon Schmitt, John Shawe-Taylor, Hado van Hasselt
DAPoinTr: Domain Adaptive Point Transformer for Point Cloud Completion
Yinghui Li, Qianyu Zhou, Jingyu Gong et al.
Better Understandings and Configurations in MaxSAT Stochastic Local Search Solvers via Anytime Performance Analysis
Furong Ye, Chuan Luo, Shaowei Cai
Few-Shot Domain Adaptation for Learned Image Compression
Tianyu Zhang, Haotian Zhang, Yuqi Li et al.
Deterministic Policy Gradient Primal-Dual Methods for Continuous-Space Constrained MDPs
Sergio Rozada, Dongsheng Ding, Antonio G. Marques et al.
Neural Combinatorial Optimization for Stochastic Flexible Job Shop Scheduling Problems
Igor G. Smit, Yaoxin Wu, Pavel Troubil et al.
View Transformation Robustness for Multi-View 3D Object Reconstruction with Reconstruction Error-Guided View Selection
Qi Zhang, Zhouhang Luo, Tao Yu et al.
Approximate Bilevel Difference Convex Programming for Bayesian Risk Markov Decision Processes
Yifan Lin, Enlu Zhou
Threshold UCT: Cost-Constrained Monte Carlo Tree Search with Pareto Curves
Martin Kurečka, Václav Nevyhoštěný, Petr Novotný et al.
On Shallow Planning Under Partial Observability
Randy Lefebvre, Audrey Durand
Can Private Machine Learning Be Fair?
Joseph Rance, Filip Svoboda
Fair Federated Survival Analysis
Md Mahmudur Rahman, Sanjay Purushotham
Self-Correcting Robot Manipulation via Gaussian-Splatted Foresight
Shaohui Pan, Yong Xu, Ruotao Xu et al.
Advancing Retrosynthesis with Retrieval-Augmented Graph Generation
Anjie Qiao, Zhen Wang, Jiahua Rao et al.
Learning to Rewind via Iterative Prediction of Past Weights for Practical Unlearning
Jinhyeok Jang, Jaehong Kim, Chan-Hyun Youn
AutoSciLab: A Self-Driving Laboratory for Interpretable Scientific Discovery
Saaketh Desai, Sadhvikas Addamane, Jeffrey Y. Tsao et al.
Fusing Pruned and Backdoored Models: Optimal Transport-based Data-free Backdoor Mitigation
Weilin Lin, Li Liu, Jianze Li et al.
Textured Mesh Saliency: Bridging Geometry and Texture for Human Perception in 3D Graphics
Kaiwei Zhang, Dandan Zhu, Xiongkuo Min et al.
SMMF: Square-Matricized Momentum Factorization for Memory-Efficient Optimization
Kwangryeol Park, Seulki Lee
RepFace: Refining Closed-Set Noise with Progressive Label Correction for Face Recognition
Jie Zhang, Xun Gong, Zhonglin Sun
Towards Practical Classical Planning Compilations of Numeric Planning
Luigi Bonassi, Francesco Percassi, Enrico Scala
Reconsidering Feature Structure Information and Latent Space Alignment in Partial Multi-label Feature Selection
Hanlin Pan, Kunpeng Liu, Wanfu Gao
Dual-View Learning for Conversational Emotion Recognition Through Context and Emotion-Shift Modeling
Xupeng Zha, Huan Zhao, Guanghui Ye et al.
Incomplete Multi-View Multi-Label Classification via Diffusion-Guided Redundancy Removal
Shilong Ou, Zhe Xue, Lixiong Qin et al.
SongGLM: Lyric-to-Melody Generation with 2D Alignment Encoding and Multi-Task Pre-Training
Jiaxing Yu, Xinda Wu, Yunfei Xu et al.
MABR: Multilayer Adversarial Bias Removal Without Prior Bias Knowledge
Maxwell J. Yin, Boyu Wang, Charles Ling
Rectified Lagrangian for Out-of-Distribution Detection in Modern Hopfield Networks
Ryo Moriai, Nakamasa Inoue, Masayuki Tanaka et al.
D^2-DPM: Dual Denoising for Quantized Diffusion Probabilistic Models
Qian Zeng, Jie Song, Han Zheng et al.
Support Vector-based Estimation of Multilinear Games for Feature Selection and Explanation
Majid Mohammadi, Ilaria Tiddi, Annette Ten Teije
Int*-Match: Balancing Intra-Class Compactness and Inter-Class Discrepancy for Semi-Supervised Speaker Recognition
Xingmei Wang, Jinghan Liu, Jiaxiang Meng et al.
PDBs Go Numeric: Pattern-Database Heuristics for Simple Numeric Planning
Daniel Gnad, Lee-Or Alon, Eyal Weiss et al.
The Dynamic Duo of Collaborative Masking and Target for Advanced Masked Autoencoder Learning
Shentong Mo
Temporal Action Localization with Cross Layer Task Decoupling and Refinement
Qiang Li, Di Liu, Jun Kong et al.
Enhancing Entertainment Translation for Indian Languages Using Adaptive Context, Style and LLMs
Pratik Rakesh Singh, Mohammadi Zaki, Pankaj Wasnik
Multimodal Hypothetical Summary for Retrieval-based Multi-image Question Answering
Peize Li, Qingyi Si, Peng Fu et al.
DOMBA: Double Model Balancing for Access-Controlled Language Models via Minimum-Bounded Aggregation
Tom Segal, Asaf Shabtai, Yuval Elovici
Hansel: Output Length Controlling Framework for Large Language Models
Seoha Song, Junhyun Lee, Hyeonmok Ko
KeyPose: Category-Level 6D Object Pose Estimation with Self-Adaptive Keypoints
Sheng Yu, Di-Hua Zhai, Yuanqing Xia
Optimize Incompatible Parameters Through Compatibility-aware Knowledge Integration
Zheqi Lv, Keming Ye, Zishu Wei et al.
NOMATTERXAI: Generating “No Matter What” Alterfactual Examples for Explaining Black-Box Text Classification Models
Tuc Van Nguyen, James Michels, Hua Shen et al.
Dynamic Syntactic Feature Filtering and Injecting Networks for Cross-lingual Dependency Parsing
Jianjian Liu, Zhengtao Yu, Ying Li et al.
Multi-Granularity Open Intent Classification via Adaptive Granular-Ball Decision Boundary
Yanhua Li, Xiaocao Ouyang, Chaofan Pan et al.