Most Cited AAAI "downstream nlp tasks" Papers
5,317 papers found • Page 11 of 27
Conference
Efficient Deformable Convolutional Prompt for Continual Test-Time Adaptation in Medical Image Segmentation
Shiyu Liu, Daoqiang Zhang, Xiaoke Hao
Counterfactual Identification Under Monotonicity Constraints
Aurghya Maiti, Drago Plecko, Elias Bareinboim
Formally Verified Approximate Policy Iteration
Maximilian Schäffeler, Mohammad Abdulaziz
Learning More Expressive General Policies for Classical Planning Domains
Simon Ståhlberg, Blai Bonet, Hector Geffner
D&M: Enriching E-commerce Videos with Sound Effects by Key Moment Detection and SFX Matching
Jingyu Liu, Minquan Wang, Ye Ma et al.
Exploring Task-Level Optimal Prompts for Visual In-Context Learning
Yan Zhu, Huan Ma, Changqing Zhang
Revelations: A Decidable Class of POMDPs with Omega-Regular Objectives
Marius Belly, Nathanaël Fijalkow, Hugo Gimbert et al.
Optimizing Label Assignment for Weakly Supervised Person Search
Haiyang Zhu, Xi Yang, Nannan Wang
LLM Agents Can Be Choice-Supportive Biased Evaluators: An Empirical Study
Nan Zhuang, Boyu Cao, Yi Yang et al.
Interpretable Failure Detection with Human-Level Concepts
Kien X. Nguyen, Tang Li, Xi Peng
RepeatLeakage: Leak Prompts from Repeating as Large Language Model Is a Good Repeater
Yu Peng, Lijie Zhang, Peizhuo Lv et al.
UN-DETR: Promoting Objectness Learning via Joint Supervision for Unknown Object Detection
HaoMiao Liu, Hao Xu, Chuhuai Yue et al.
Practicable Black-Box Evasion Attacks on Link Prediction in Dynamic Graphs—a Graph Sequential Embedding Method
Jiate Li, Meng Pang, Binghui Wang
Position-Aware Guided Point Cloud Completion with CLIP Model
Feng Zhou, Qi Zhang, Ju Dai et al.
FaceSpeak: Expressive and High-Quality Speech Synthesis from Human Portraits of Different Styles
Tian-Hao Zhang, Jiawei Zhang, Jun Wang et al.
Polarization Guided Mask-Free Shadow Removal
Chu Zhou, Chao Xu, Boxin Shi
IPVTON: Image-based 3D Virtual Try-on with Image Prompt Adapter
Xiaojing Zhong, Zhonghua Wu, Xiaofeng Yang et al.
An Approximate Skolem Function Counter
Arijit Shaw, Brendan Juba, Kuldeep S Meel
Multi-StyleGS: Stylized Gaussian Splatting with Multiple Styles
Yangkai Lin, Jiabao Lei, Kui Jia
Anti-Diffusion: Preventing Abuse of Modifications of Diffusion-Based Models
Li Zheng, Liangbin Xie, Jiantao Zhou et al.
Heterogeneous Prompt-Guided Entity Inferring and Distilling for Scene-Text Aware Cross-Modal Retrieval
Zhiqian Zhao, Liang Li, Jiehua Zhang et al.
Thought-Path Contrastive Learning via Premise-Oriented Data Augmentation for Logical Reading Comprehension
Chenxu Wang, Ping Jian, Zhen Yang
Enhancing Portuguese Variety Identification with Cross-Domain Approaches
Hugo Sousa, Rúben Almeida, Purificação Silvano et al.
Error Diversity Matters: An Error-Resistant Ensemble Method for Unsupervised Dependency Parsing
Behzad Shayegh, Hobie H.-B. Lee, Xiaodan Zhu et al.
Is Your Image a Good Storyteller?
Xiujie Song, Xiaoyi Pang, Haifeng Tang et al.
Zero-Shot Learning in Industrial Scenarios: New Large-Scale Benchmark, Challenges and Baseline
Zekai Zhang, Qinghui Chen, Maomao Xiong et al.
DynASyn: Multi-Subject Personalization Enabling Dynamic Action Synthesis
Yongjin Choi, Chanhun Park, Seung Jun Baek
VidEvent: A Large Dataset for Understanding Dynamic Evolution of Events in Videos
Baoyu Liang, Qile Su, Shoutai Zhu et al.
CLNX: Bridging Code and Natural Language for C/C++ Vulnerability-Contributing Commits Identification
Zeqing Qin, Yiwei Wu, Lansheng Han
CORECODE: A Common Sense Annotated Dialogue Dataset with Benchmark Tasks for Chinese Large Language Models
Dan Shi, Chaobin You, Jian-Tao Huang et al.
Toy-GS: Assembling Local Gaussians for Precisely Rendering Large-Scale Free Camera Trajectories
Xiaohan Zhang, Zhenyu Sun, Yukui Qiu et al.
Transtreaming: Adaptive Delay-aware Transformer for Real-time Streaming Perception
Xiang Zhang, Yufei Cui, Chenchen Fu et al.
Elevating Flow-Guided Video Inpainting with Reference Generation
Suhwan Cho, Seoung Wug Oh, Sangyoun Lee et al.
Enhancing Identity-Deformation Disentanglement in StyleGAN for One-Shot Face Video Re-Enactment
Qing Chang, Yao-Xiang Ding, Kun Zhou
EDENet: Echo Direction Encoding Network for Place Recognition Based on Ground Penetrating Radar
Pengyu Zhang, Xieyuanli Chen, Yuwei Chen et al.
SimRP: Syntactic and Semantic Similarity Retrieval Prompting Enhances Aspect Sentiment Quad Prediction
Zhongquan Jian, Yanhao Chen, Jiajian Li et al.
Multi-Modal Latent Variables for Cross-Individual Primary Visual Cortex Modeling and Analysis
Yu Zhu, Bo Lei, Chunfeng Song et al.
EmoReg: Directional Latent Vector Modeling for Emotional Intensity Regularization in Diffusion-based Voice Conversion
Ashishkumar Prabhakar Gudmalwar, Ishan Darshan Biyani, Nirmesh J. Shah et al.
Attack on Prompt: Backdoor Attack in Prompt-Based Continual Learning
Trang Nguyen, Anh Tran, Nhat Ho
CDW-CoT: Clustered Distance-Weighted Chain-of-Thoughts Reasoning
Yuanheng Fang, Guoqing Chao, Wenqiang Lei et al.
Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting
Reza Nematirad, Anil Pahwa, Balasubramaniam Natarajan
DCA: Dividing and Conquering Amnesia in Incremental Object Detection
Aoting Zhang, Dongbao Yang, Chang Liu et al.
SyncNoise: Geometrically Consistent Noise Prediction for Instruction-based 3D Editing
Ruihuang Li, Liyi Chen, Zhengqiang Zhang et al.
Mapping from Meaning: Addressing the Miscalibration of Prompt-Sensitive Language Models
Kyle Cox, Jiawei Xu, Yikun Han et al.
Detecting Music Performance Errors with Transformers
Benjamin Shiue-Hal Chou, Purvish Jajal, Nicholas John Eliopoulos et al.
Inductive Learning of Logical Theories with LLMs: A Expressivity-graded Analysis
João Pedro Gandarela de Souza, Danilo Carvalho, André Freitas
Enhance Sketch Recognition’s Explainability via Semantic Component-Level Parsing
Guangming Zhu, Siyuan Wang, Tianci Wu et al.
Leveraging the Dual Capabilities of LLM: LLM-Enhanced Text Mapping Model for Personality Detection
Weihong Bi, Feifei Kou, Lei Shi et al.
CohEx: A Generalized Framework for Cohort Explanation
Fanyu Meng, Xin Liu, Zhaodan Kong et al.
SPACETIME: Causal Discovery from Non-Stationary Time Series
Sarah Mameche, Lénaïg Cornanguer, Urmi Ninad et al.
Spatiotemporal Blind-Spot Network with Calibrated Flow Alignment for Self-Supervised Video Denoising
Zikang Chen, Tao Jiang, Xiaowan Hu et al.
FedSum: Data-Efficient Federated Learning Under Data Scarcity Scenario for Text Summarization
Zhiyong Ma, Zhengping Li, Yuanjie Shi et al.
Optimising Spatial Teamwork Under Uncertainty
Gregory Everett, Ryan J. Beal, Tim Matthews et al.
Multi-View 3D Human Pose Estimation with Weakly Synchronized Images
Ling Li, Ruiwen Gu, Chongyang Wang et al.
Intelligent OPC Engineer Assistant for Semiconductor Manufacturing
Guojin Chen, Haoyu Yang, Bei Yu et al.
Natural Strategic Ability in Stochastic Multi-Agent Systems
Raphaël Berthon, J. Katoen, Munyque Mittelmann et al.
STraj: Self-training for Bridging the Cross-Geography Gap in Trajectory Prediction
Zhanwei Zhang, Minghao Chen, Zhihong Gu et al.
FreeNet: Liberating Depth-Wise Separable Operations for Building Faster Mobile Vision Architectures
Hao Yu, Haoyu Chen, Wei Peng et al.
WaveletMixer: A Multi-Resolution Wavelets Based MLP-Mixer for Multivariate Long-Term Time Series Forecasting
Zichi Zhang, Tuan Dung Pham, Yimeng An et al.
Semi-Implicit Neural Ordinary Differential Equations
Hong Zhang, Ying Liu, Romit Maulik
DiffCLIP: Few-shot Language-driven Multimodal Classifier
Jiaqing Zhang, Mingxiang Cao, Xue Yang et al.
Lightweight Contrastive Distilled Hashing for Online Cross-modal Retrieval
Jiaxing Li, Lin Jiang, Zeqi Ma et al.
Noisy Node Classification by Bi-level Optimization Based Multi-Teacher Distillation
Yujing Liu, Zongqian Wu, Zhengyu Lu et al.
SemiDFL: A Semi-Supervised Paradigm for Decentralized Federated Learning
Xinyang Liu, Pengchao Han, Xuan Li et al.
Efficient Multi-Policy Evaluation for Reinforcement Learning
Shuze Daniel Liu, Claire Chen, Shangtong Zhang
M²RL-Net: Multi-View and Multi-Level Relation Learning Network for Weakly-Supervised Image Forgery Detection
Jiafeng Li, Ying Wen, Lianghua He
Exploring Salient Object Detection with Adder Neural Networks
Bo-Wen Yin, Zheng Lin
Vision-aware Multimodal Prompt Tuning for Uploadable Multi-source Few-shot Domain Adaptation
Kuanghong Liu, Jin Wang, Kangjian He et al.
Rare Event Detection in Imbalanced Multi-Class Datasets Using an Optimal MIP-Based Ensemble Weighting Approach
Georgios Tertytchny, Georgios L. Stavrinides, Maria K. Michael
Dynamic Expansion Diffusion Learning for Lifelong Generative Modelling
Fei Ye, Adrian G. Bors, Kun Zhang
Unleashing the Power of Visual Foundation Models for Generalizable Semantic Segmentation
PeiYuan Tang, Xiaodong Zhang, Chunze Yang et al.
Concept Conductor: Orchestrating Multiple Personalized Concepts in Text-to-Image Synthesis
Zebin Yao, Fangxiang Feng, Ruifan Li et al.
E4: Energy-Efficient DNN Inference for Edge Video Analytics via Early Exiting and DVFS
Ziyang Zhang, Yang Zhao, Ming-Ching Chang et al.
Efficient Reinforcement Learning in Probabilistic Reward Machines
Xiaofeng Lin, Xuezhou Zhang
MoLE:Decoding by Mixture of Layer Experts Alleviates Hallucination in Large Vision-Language Models
Tian Liang, Yuetian Du, Jing Huang et al.
Temporal-Aware Evaluation and Learning for Temporal Graph Neural Networks
Junwei Su, Shan Wu
Higher Order Structures for Graph Explanations
Akshit Sinha, Sreeram Vennam, Charu Sharma et al.
Open-Set Cross-Network Node Classification via Unknown-Excluded Adversarial Graph Domain Alignment
Xiao Shen, Zhihao Chen, Shirui Pan et al.
QCS-SGM+: Improved Quantized Compressed Sensing with Score-Based Generative Models
Xiangming Meng, Yoshiyuki Kabashima
EBS-CFL: Efficient and Byzantine-robust Secure Clustered Federated Learning
Zhiqiang Li, Haiyong Bao, Menghong Guan et al.
A Layer Selection Approach to Test Time Adaptation
Sabyasachi Sahoo, Mostafa ElAraby, Jonas Ngnawe et al.
Denoising Diffusion Variational Inference: Diffusion Models as Expressive Variational Posteriors
Wasu Top Piriyakulkij, Yingheng Wang, Volodymyr Kuleshov
Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration
Wonjeong Choi, Jungwuk Park, Dong-Jun Han et al.
Semi-Supervised Clustering Framework for Fine-grained Scene Graph Generation
Jiarui Yang, Chuan Wang, Jun Zhang et al.
Federated t-SNE and UMAP for Distributed Data Visualization
Dong Qiao, Xinxian Ma, Jicong Fan
Enhancing Question Generation through Diversity-Seeking Reinforcement Learning with Bilevel Policy Decomposition
Tianyu Ren, Hui Wang, Karen Rafferty
PointDGMamba: Domain Generalization of Point Cloud Classification via Generalized State Space Model
Hao Yang, Qianyu Zhou, Haijia Sun et al.
Generalized Variational Inference via Optimal Transport
Jinjin Chi, Zhichao Zhang, Zhiyao Yang et al.
Composing Biases by Using CP to Decompose Minimal Functional Dependencies for Acquiring Complex Formulae
Ramiz Gindullin, Nicolas Beldiceanu, Jovial Cheukam Ngouonou et al.
Tilted Quantile Gradient Updates for Quantile-Constrained Reinforcement Learning
Chenglin Li, Guangchun Ruan, Hua Geng
Zero-Shot Learning for Materials Science Texts: Leveraging Duck Typing Principles
Xin Zhang, Peiliang Zhang, Jingling Yuan et al.
MGDA: Model-based Goal Data Augmentation for Offline Goal-conditioned Weighted Supervised Learning
Xing Lei, Xuetao Zhang, Donglin Wang
Inertial Algorithm with Dry Fraction and Convolutional Sparse Coding for 3D Localization with Light Field Microscopy
Xiaofan Wang, Zhiyuan Deng, Changle Wang et al.
Opponent-Model Search in Games with Incomplete Information
Junkang Li, Bruno Zanuttini, Véronique Ventos
Enhanced Importance Sampling Through Latent Space Exploration in Normalizing Flows
Liam Anthony Kruse, Alexandros Tzikas, Harrison Delecki et al.
FCOM: A Federated Collaborative Online Monitoring Framework via Representation Learning
Tanapol Kosolwattana, Huazheng Wang, Raed Al Kontar et al.
Super-Class Guided Transformer for Zero-Shot Attribute Classification
Sehyung Kim, Chanhyeong Yang, Jihwan Park et al.
PDDM: Pseudo Depth Diffusion Model for RGB-PD Semantic Segmentation Based in Complex Indoor Scenes
Xinhua Xu, Hong Liu, Jianbing Wu et al.
A Stochastic Approach to Bi-Level Optimization for Hyperparameter Optimization and Meta Learning
Minyoung Kim, Timothy Hospedales
Salient Frequency-aware Exemplar Compression for Resource-constrained Online Continual Learning
Junsu Kim, Suhyun Kim
DeepBranchTracer: A Generally-Applicable Approach to Curvilinear Structure Reconstruction Using Multi-Feature Learning
Chao Liu, Ting Zhao, Nenggan Zheng
Operationalizing Essential Characteristics of Creativity in a Computational System for Music Composition
Paul Bodily, Dan Ventura
Task-Specific Preconditioner for Cross-Domain Few-Shot Learning
Suhyun Kang, Jungwon Park, Wonseok Lee et al.
Dimension Reduction for Symbolic Regression
Paul Kahlmeyer, Markus Fischer, Joachim Giesen
Multi-Edge Reinforced Collaborative Data Acquisition for Continuous Video Analytics by Prioritizing Quality over Quantity
Lei Zhang, Guanyu Gao, Haiyan Yin et al.
Geodesic Flow Kernels for Semi-Supervised Learning on Mixed-Variable Tabular Dataset
Yoontae Hwang, Yongjae Lee
INFORMEDQX: Informed Conflict Detection for Over-Constrained Problems
Viet-Man Le, Alexander Felfernig, Thi Ngoc Trang Tran et al.
Adaptive Prompt-Based Semantic Embedding with Inspire Potential of Implicit Knowledge for Cross-Modal Retrieval
Xin Huang, Shilong Wang, Tong Jia et al.
Stability and Generalization of Zeroth-Order Decentralized Stochastic Gradient Descent with Changing Topology
Xiaolin Hu, Zixuan Gong, Gengze Xu et al.
Multi-aspect Self-guided Deep Information Bottleneck for Multi-modal Clustering
Shizhe Hu, Jiahao Fan, Guoliang Zou et al.
Eliciting Kemeny Rankings
Anne-Marie George, Christos Dimitrakakis
Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization
Liang Dai, Kejie Lyu, Chengcheng Zhang et al.
Wavelet-Driven Masked Image Modeling: A Path to Efficient Visual Representation
Wenzhao Xiang, Chang Liu, Hongyang Yu et al.
Differential Alignment for Domain Adaptive Object Detection
Xinyu He, Xinhui Li, Xiaojie Guo
POPoS: Improving Efficient and Robust Facial Landmark Detection with Parallel Optimal Position Search
Chong-Yang Xiang, Jun-Yan He, Zhi-Qi Cheng et al.
GLAM: Global-Local Variation Awareness in Mamba-based World Model
Qian He, Wenqi Liang, Chunhui Hao et al.
Multi-Shape Matching with Cycle Consistency Basis via Functional Maps
Yifan Xia, Tianwei Ye, Huabing Zhou et al.
Knowledge-Guided Domain Adaptation Model for Transferring Drug Response Prediction from Cell Lines to Patients
Xuan Liu, Menglu Li
ADELA: Accelerating Evolutionary Design of Machine Learning Pipelines with the Accompanying Surrogate Model
Yang Gu, Jian Cao, Hengyu You et al.
Deep Representation Learning for Forecasting Recursive and Multi-Relational Events in Temporal Networks
Tony Gracious, Ambedkar Dukkipati
Recoverable Facial Identity Protection via Adaptive Makeup Transfer Adversarial Attacks
Xiyao Liu, Junxing Ma, Xinda Wang et al.
Queries, Representation & Detection: The Next 100 Model Fingerprinting Schemes
Augustin Godinot, Erwan Le Merrer, Camilla Penzo et al.
Auditing and Enforcing Conditional Fairness via Optimal Transport
Mohsen Ghassemi, Alan Mishler, Niccolo Dalmasso et al.
CiTrus: Squeezing Extra Performance out of Low-data Bio-signal Transfer Learning
Eloy Geenjaar, Lie Lu
FLUE: Streamlined Uncertainty Estimation for Large Language Models
Shiqi Gao, Tianxiang Gong, Zijie Lin et al.
GigaGS: 3D Gaussian Based Planar Representation for Large-Scene Surface Reconstruction
Junyi Chen, Weicai Ye, Yifan Wang et al.
REPEAT: Improving Uncertainty Estimation in Representation Learning Explainability
Kristoffer K. Wickstrøm, Thea Brüsch, Michael C. Kampffmeyer et al.
Jointly Modeling Spatio-Temporal Features of Tactile Signals for Action Classification
Jimmy Lin, Junkai Li, Jiasi Gao et al.
Neural Gaussian Similarity Modeling for Differential Graph Structure Learning
Xiaolong Fan, Maoguo Gong, Yue Wu et al.
OmniMark: Efficient and Scalable Latent Diffusion Model Fingerprinting
Jianwei Fei, Yunshu Dai, Zhihua Xia et al.
WaveLoss: An Adaptive Dynamic Loss for Deep Gait Recognition
Zicheng Wang, Qiuxia Wu
Discerning Temporal Difference Learning
Jianfei Ma
Causal Discovery by Interventions via Integer Programming
Abdelmonem Elrefaey, Rong Pan
Information-Theoretic Generative Clustering of Documents
Xin Du, Kumiko Tanaka-Ishii
Combining Priors with Experience: Confidence Calibration Based on Binomial Process Modeling
Jinzong Dong, Zhaohui Jiang, Dong Pan et al.
Attribute Inference Attacks for Federated Regression Tasks
Francesco Diana, Othmane Marfoq, Chuan Xu et al.
The Surprising Effectiveness of Infinite-Width NTKs for Characterizing and Improving Model Training
Joshua DeOliveira, Walter Gerych, Elke Rundensteiner
10725 SAT-Based Tree Decomposition with Iterative Cascading Policy Selection
Hai Xia, Stefan Szeider
Energy-Guided Optimization for Personalized Image Editing with Pretrained Text-to-Image Diffusion Models
Rui Jiang, Xinghe Fu, Guangcong Zheng et al.
Motion-Zero: A Zero-Shot Trajectory Control Framework of Moving Object for Diffusion-Based Video Generation
Changgu Chen, Junwei Shu, Gaoqi He et al.
Cooperative Knowledge Distillation: A Learner Agnostic Approach
Michael Livanos, Ian Davidson, Stephen Wong
Cross-Validated Off-Policy Evaluation
Matej Cief, Branislav Kveton, Michal Kompan
RaCMC: Residual-Aware Compensation Network with Multi-Granularity Constraints for Fake News Detection
Xinquan Yu, Ziqi Sheng, Wei Lu et al.
The Moderating Effect of Instant Runoff Voting
Kiran Tomlinson, Johan Ugander, Jon Kleinberg
Granularity-Adaptive Spatial Evidence Tokenization for Video Question Answering
Hao Jiang, Yang Jin, Zhicheng Sun et al.
Debiased Active Learning with Variational Gradient Rectifier
Weiguo Chen, Changjian Wang, Shijun Li et al.
SpotDiff: Spatial Gene Expression Imputation Diffusion with Single-Cell RNA Sequencing Data Integration
Tianyi Chen, Yunfei Zhang, Lianxin Xie et al.
Integrating Sequence and Image Modeling in Irregular Medical Time Series Through Self-Supervised Learning
Liuqing Chen, Shuhong Xiao, Shixian Ding et al.
Error Analysis Affected by Heavy-Tailed Gradients for Non-Convex Pairwise Stochastic Gradient Descent
Jun Chen, Hong Chen, Bin Gu et al.
Cross-View Graph Consistency Learning for Invariant Graph Representations
Jie Chen, Hua Mao, Wai Lok Woo et al.
Implications of Distance over Redistricting Maps: Central and Outlier Maps
Seyed Esmaeili, Darshan Chakraborty, Hayley Grape et al.
Multiple Hypothesis Dropout: Estimating the Parameters of Multi-Modal Output Distributions
David Nguyen, David Liebowitz, Salil Kanhere et al.
Density Matters: Improved Core-Set for Active Domain Adaptive Segmentation
Shizhan Liu, Zhengkai Jiang, Yuxi Li et al.
Solving Satisfiability Modulo Counting for Symbolic and Statistical AI Integration with Provable Guarantees
Jinzhao Li, Nan Jiang, Yexiang Xue
DiffExp: Efficient Exploration in Reward Fine-tuning for Text-to-Image Diffusion Models
Daewon Chae, June Suk Choi, Jinkyu Kim et al.
An Evaluation Framework for Product Images Background Inpainting Based on Human Feedback and Product Consistency
Yuqi Liang, Jun Luo, Xiaoxi Guo et al.
GMP-AR: Granularity Message Passing and Adaptive Reconciliation for Temporal Hierarchy Forecasting
Fan Zhou, Chen Pan, Lintao Ma et al.
3D Denoisers Are Good 2D Teachers: Molecular Pretraining via Denoising and Cross-Modal Distillation
Sungjun Cho, Dae-Woong Jeong, Sung Moon Ko et al.
CUDC: A Curiosity-Driven Unsupervised Data Collection Method with Adaptive Temporal Distances for Offline Reinforcement Learning
Chenyu Sun, Hangwei Qian, Chunyan Miao
Context-Aware Iteration Policy Network for Efficient Optical Flow Estimation
Ri Cheng, Ruian He, Xuhao Jiang et al.
FaceA-Net: Facial Attribute-Driven ID Preserving Image Generation Network
Jiayu Wang, Yue Yu, Jingjing Chen et al.
Social-Aware Group Display Configuration in VR Conference
Bay-Yuan Hsu, Chih-Ya Shen, Hao Shan Yuan et al.
When Can We Approximate Wide Contrastive Models with Neural Tangent Kernels and Principal Component Analysis?
Gautham Govind Anil, Pascal Esser, Debarghya Ghoshdastidar
Responding to the Call: Exploring Automatic Music Composition Using a Knowledge-Enhanced Model
Zhejing Hu, Yan Liu, Gong Chen et al.
Markov Balance Satisfaction Improves Performance in Strictly Batch Offline Imitation Learning
Rishabh Agrawal, Nathan Dahlin, Rahul Jain et al.
Distilling Knowledge from Heterogeneous Architectures for Semantic Segmentation
Yanglin Huang, Kai Hu, Yuan Zhang et al.
Narrowing the Gap between Supervised and Unsupervised Sentence Representation Learning with Large Language Model
Mingxin Li, Richong Zhang, Zhijie Nie et al.
NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation
Abbvavaram Gowtham Reddy, Vineeth N Balasubramanian
Geometry-Aware 3D Salient Object Detection Network
Chen Wang, Liyuan Zhang, Le Hui et al.
DAMPER: A Dual-Stage Medical Report Generation Framework with Coarse-Grained MeSH Alignment and Fine-Grained Hypergraph Matching
Xiaofei Huang, Wenting Chen, Jie Liu et al.
Trend-Aware Supervision: On Learning Invariance for Semi-supervised Facial Action Unit Intensity Estimation
Yingjie Chen, Jiarui Zhang, Tao Wang et al.
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.
Generalising Planning Environment Redesign
Alberto Pozanco, Ramon Fraga Pereira, Daniel Borrajo
Efficient Indoor Depth Completion Network Using Mask-adaptive Gated Convolution
Tingxuan Huang, Jiacheng Miao, Shizhuo Deng et al.
Query-centric Audio-Visual Cognition Network for Moment Retrieval, Segmentation and Step-Captioning
Yunbin Tu, Liang Li, Li Su et al.
Fair Participation via Sequential Policies
Reilly Raab, Ross Boczar, Maryam Fazel 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.
DDAE: Towards Deep Dynamic Vision BERT Pretraining
1953 Honghao Chen, Xiangwen Kong, Xiangyu Zhang et al.
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.
Limited Memory Online Gradient Descent for Kernelized Pairwise Learning with Dynamic Averaging
Hilal AlQuabeh, William de Vazelhes, Bin Gu
Efficient Language-instructed Skill Acquisition via Reward-Policy Co-Evolution
Changxin Huang, Yanbin Chang, Junfan Lin 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
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.
Modality-Aware Shot Relating and Comparing for Video Scene Detection
Jiawei Tan, Hongxing Wang, Kang Dang et al.
Improving GNN Calibration with Discriminative Ability: Insights and Strategies
Yujie Fang, Xin Li, Qianyu Chen 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
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.
Sketched Newton Value Iteration for Large-Scale Markov Decision Processes
Jinsong Liu, Chenghan Xie, Qi Deng et al.
Bayesian Persuasion with Externalities: Exploiting Agent Types
Jonathan Shaki, Jiarui Gan, Sarit Kraus
Multi-Apartment Rent Division
Ariel D. Procaccia, Benjamin Schiffer, Shirley Zhang
Abstract and Explore: A Novel Behavioral Metric with Cyclic Dynamics in Reinforcement Learning
Anjie Zhu, Peng-Fei Zhang, Ruihong Qiu et al.