Most Cited AAAI "temporal inconsistency" Papers
5,317 papers found • Page 27 of 27
Conference
Situation-Dependent Causal Influence-Based Cooperative Multi-Agent Reinforcement Learning
Xiao Du, Yutong Ye, Pengyu Zhang et al.
DiffSED: Sound Event Detection with Denoising Diffusion
Swapnil Bhosale, Sauradip Nag, Diptesh Kanojia et al.
Deep Copula-Based Survival Analysis for Dependent Censoring with Identifiability Guarantees
Weijia Zhang, Chun Kai Ling, Xuanhui Zhang
United We Stand: Using Epoch-Wise Agreement of Ensembles to Combat Overfit
Uri Stern, Daniel Shwartz, Daphna Weinshall
ESRL: Efficient Sampling-Based Reinforcement Learning for Sequence Generation
Chenglong Wang, Hang Zhou, Yimin Hu et al.
Sparse Bayesian Deep Learning for Cross Domain Medical Image Reconstruction
Jiaxin Huang, Qi Wu, Yazhou Ren et al.
GraFITi: Graphs for Forecasting Irregularly Sampled Time Series
Vijaya Krishna Yalavarthi, Kiran Madhusudhanan, Randolf Scholz et al.
10491 Multi-Granularity Causal Structure Learning
Tianyi Chu, Wei Xing, Jiafu Chen et al.
5602 Consistency-GAN: Training GANs with Consistency Model
Yunpeng Wang, Meng Pang, Shengbo Chen et al.
6402 NeRF-VPT: Learning Novel View Representations with Neural Radiance Fields via View Prompt Tuning
Linsheng Chen, Guangrun Wang, Liuchun Yuan et al.
2243 ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection
Junwei He, Qianqian Xu, Yangbangyan Jiang et al.
11879 Distributional Off-Policy Evaluation for Slate Recommendations
Shreyas Chaudhari, David Arbour, Georgios Theocharous et al.
8318 Optimal Transport with Tempered Exponential Measures
Ehsan Amid, Frank Nielsen, Richard Nock et al.
10783 The Complexity of Optimizing Atomic Congestion
Cornelius Brand, Robert Ganian, Subrahmanyam Kalyanasundaram et al.
3515 Protein 3D Graph Structure Learning for Robust Structure-Based Protein Property Prediction
Yufei Huang, Siyuan Li, Lirong Wu et al.
780 Learning Discriminative Noise Guidance for Image Forgery Detection and Localization
Jiaying Zhu, Dong Li, Xueyang Fu et al.
8284 Federated X-armed Bandit
Wenjie Li, Qifan Song, Jean Honorio et al.
3752 Decoupled Textual Embeddings for Customized Image Generation
Yufei Cai, Yuxiang Wei, Zhilong Ji et al.
12181 What Do Hebbian Learners Learn? Reduction Axioms for Unstable Hebbian Learning
Caleb Schultz Kisby, Saúl Blanco, Larry Moss
964 Measuring Self-Supervised Representation Quality for Downstream Classification Using Discriminative Features
Neha Kalibhat, Kanika Narang, Hamed Firooz et al.
1066 Benchmarking Large Language Models on Controllable Generation under Diversified Instructions
Yihan Chen, Benfeng Xu, Quan Wang et al.
Neural Oscillators for Generalization of Physics-Informed Machine Learning
Taniya Kapoor, Abhishek Chandra, Daniel M. Tartakovsky et al.
Maximizing Nash Social Welfare under Two-Sided Preferences
Pallavi Jain, Rohit Vaish
NeSyFOLD: A Framework for Interpretable Image Classification
Parth Padalkar, Huaduo Wang, Gopal Gupta
MESED: A Multi-Modal Entity Set Expansion Dataset with Fine-Grained Semantic Classes and Hard Negative Entities
Li Yangning, Tingwei Lu, Hai-Tao Zheng et al.
FLAME: A Small Language Model for Spreadsheet Formulas
Harshit Joshi, José Cambronero Sanchez, Abishai Ebenezer et al.
A Robust Mutual-Reinforcing Framework for 3D Multi-Modal Medical Image Fusion Based on Visual-Semantic Consistency
Hao Zhang, Xuhui Zuo, Huabing Zhou et al.
KGDM: A Diffusion Model to Capture Multiple Relation Semantics for Knowledge Graph Embedding
Xiao Long, Liansheng Zhuang, Aodi Li et al.
Proportional Representation in Metric Spaces and Low-Distortion Committee Selection
Yusuf Kalayci, David Kempe, Vikram Kher
Finding Visual Saliency in Continuous Spike Stream
Lin Zhu, Xianzhang Chen, Xiao Wang et al.
Simplicity Bias in Overparameterized Machine Learning
Curvature-Invariant Adversarial Attacks for 3D Point Clouds
Jianping Zhang, Wenwei Gu, Yizhan Huang et al.
Contrastive Continual Learning with Importance Sampling and Prototype-Instance Relation Distillation
Jiyong Li, Dilshod Azizov, Yang LI et al.
CoLAL: Co-learning Active Learning for Text Classification
Linh Le, Genghong Zhao, Xia Zhang et al.
Paths, Proofs, and Perfection: Developing a Human-Interpretable Proof System for Constrained Shortest Paths
Konstantin Sidorov, Gonçalo Homem de Almeida Correia, Mathijs de Weerdt et al.
Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach
Wen Huang, Xintao Wu
VQCNIR: Clearer Night Image Restoration with Vector-Quantized Codebook
Wenbin Zou, Hongxia Gao, Tian Ye et al.
NILUT: Conditional Neural Implicit 3D Lookup Tables for Image Enhancement
Marcos Conde, Javier Vazquez-Corral, Michael Brown et al.
On Estimating the Gradient of the Expected Information Gain in Bayesian Experimental Design
Ziqiao Ao, Jinglai Li
SafeAR: Safe Algorithmic Recourse by Risk-Aware Policies
Haochen Wu, Shubham Sharma, Sunandita Patra et al.
Multimodal Graph Neural Architecture Search under Distribution Shifts
Jie Cai, Xin Wang, Haoyang Li et al.
A Dynamic GCN with Cross-Representation Distillation for Event-Based Learning
Yongjian Deng, Hao Chen, Youfu Li
Fine-Grained Distillation for Long Document Retrieval
Yucheng Zhou, Tao Shen, Xiubo Geng et al.
Simultaneous Optimization of Bid Shading and Internal Auction for Demand-Side Platforms
Yadong Xu, Bonan Ni, Weiran Shen et al.
Let There Be Sound: Reconstructing High Quality Speech from Silent Videos
Ji-Hoon Kim, Jaehun Kim, Joon Son Chung
ShapeBoost: Boosting Human Shape Estimation with Part-Based Parameterization and Clothing-Preserving Augmentation
Siyuan Bian, Jiefeng Li, Jiasheng Tang et al.
Symbolic Cognitive Diagnosis via Hybrid Optimization for Intelligent Education Systems
Junhao Shen, Hong Qian, Wei Zhang et al.
Optimal Survival Trees: A Dynamic Programming Approach
Tim Huisman, Jacobus van der Linden, Emir Demirović
LISR: Learning Linear 3D Implicit Surface Representation Using Compactly Supported Radial Basis Functions
Atharva Pandey, Vishal Yadav, Rajendra Nagar et al.
An Interpretable Approach to the Solutions of High-Dimensional Partial Differential Equations
Lulu Cao, Yufei Liu, Zhenzhong Wang et al.
Debiased Novel Category Discovering and Localization
Juexiao Feng, Yuhong Yang, Yanchun Xie et al.
SHAP\@k: Efficient and Probably Approximately Correct (PAC) Identification of Top-K Features
Sanjay Kariyappa, Leonidas Tsepenekas, Freddy Lecue et al.
Wasserstein Differential Privacy
Chengyi Yang, Jiayin Qi, Aimin Zhou
Bi-directional Adapter for Multimodal Tracking
Bing Cao, Junliang Guo, Pengfei Zhu et al.
Multi-Constellation-Inspired Single-Shot Global LiDAR Localization
Tongzhou Zhang, Gang Wang, Yu Chen et al.
A Reinforcement-Learning-Based Multiple-Column Selection Strategy for Column Generation
Gaoge Han, Shaoli Huang, Mingming Gong et al.
IRPruneDet: Efficient Infrared Small Target Detection via Wavelet Structure-Regularized Soft Channel Pruning
AdaCCD: Adaptive Semantic Contrasts Discovery Based Cross Lingual Adaptation for Code Clone Detection
Stratified GNN Explanations through Sufficient Expansion
Less Is More: Label Recommendation for Weakly Supervised Point Cloud Semantic Segmentation
Deciphering Raw Data in Neuro-Symbolic Learning with Provable Guarantees
Gradient-Guided Modality Decoupling for Missing-Modality Robustness
Open-Vocabulary Video Relation Extraction
Propagation Tree Is Not Deep: Adaptive Graph Contrastive Learning Approach for Rumor Detection
Leveraging Diffusion Perturbations for Measuring Fairness in Computer Vision
Using Clustering to Strengthen Decision Diagram Bounds for Discrete Optimization
G2L-CariGAN: Caricature Generation from Global Structure to Local Features
Xin Huang, Yunfeng Bai, Dong Liang et al.
The Complexity of Fair Division of Indivisible Items with Externalities
Argyrios Deligkas, Eduard Eiben, Viktoriia Korchemna et al.
A Unified Knowledge Transfer Network for Generalized Category Discovery
Wenkai Shi, Wenbin An, Feng Tian et al.
Vision-Language Pre-training with Object Contrastive Learning for 3D Scene Understanding
Taolin Zhang, Sunan He, Tao Dai et al.
Manifold-Based Verbalizer Space Re-embedding for Tuning-Free Prompt-Based Classification
Haochun Wang, Sendong Zhao, Chi Liu et al.
Semi-supervised Blind Image Quality Assessment through Knowledge Distillation and Incremental Learning
Wensheng Pan, Timin Gao, Yan Zhang et al.
LDS2AE: Local Diffusion Shared-Specific Autoencoder for Multimodal Remote Sensing Image Classification with Arbitrary Missing Modalities
Jiahui Qu, Yuanbo Yang, Wenqian Dong et al.
Hidden Follower Detection: How Is the Gaze-Spacing Pattern Embodied in Frequency Domain?
Shu Li, Ruimin Hu, Suhui Li et al.
Unlocking the Power of Open Set: A New Perspective for Open-Set Noisy Label Learning
Wenhai Wan, Shao-Yuan Li, Xinrui Wang et al.
Multi-Domain Multi-Scale Diffusion Model for Low-Light Image Enhancement
Kai Shang, Mingwen Shao, Chao Wang et al.
Weakly Supervised Multimodal Affordance Grounding for Egocentric Images
Lingjing Xu, Yang Gao, Wenfeng Song et al.
Learn How to See: Collaborative Embodied Learning for Object Detection and Camera Adjusting
Lingdong Shen, Chunlei Huo, Nuo Xu et al.
When to Show a Suggestion? Integrating Human Feedback in AI-Assisted Programming
Hussein Mozannar, Gagan Bansal, Adam Fourney et al.
Adaptive Hardness Negative Sampling for Collaborative Filtering
Riwei Lai, Rui Chen, Qilong Han et al.
Refining Latent Homophilic Structures over Heterophilic Graphs for Robust Graph Convolution Networks
Chenyang Qiu, Guoshun Nan, Tianyu Xiong et al.
GxVAEs: Two Joint VAEs Generate Hit Molecules from Gene Expression Profiles
Chen Li, Yoshihiro Yamanishi
TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient
Xingzhou Lou, Junge Zhang, Timothy Norman et al.
T2MAC: Targeted and Trusted Multi-Agent Communication through Selective Engagement and Evidence-Driven Integration
Chuxiong Sun, Zehua Zang, Jiabao Li et al.
MFTN: Multi-Level Feature Transfer Network Based on MRI-Transformer for MR Image Super-resolution
Shuying Huang, Ge Chen, Yong Yang et al.
Pay Attention to Target: Relation-Aware Temporal Consistency for Domain Adaptive Video Semantic Segmentation
Huayu Mai, Rui Sun, Yuan Wang et al.
Goal Alignment: Re-analyzing Value Alignment Problems Using Human-Aware AI
Malek Mechergui, Sarath Sreedharan
IT3D: Improved Text-to-3D Generation with Explicit View Synthesis
Yiwen Chen, Chi Zhang, Xiaofeng Yang et al.
Quantum-Inspired Neural Network with Runge-Kutta Method
Zipeng Fan, Jing Zhang, Peng Zhang et al.
Forced Exploration in Bandit Problems
Qi Han, Li Zhu, Fei Guo
Optimal Attack and Defense for Reinforcement Learning
Jeremy McMahan, Young Wu, Xiaojin Zhu et al.
Optimal Mechanism in a Dynamic Stochastic Knapsack Environment
Jihyeok Jung, Chan-Oi Song, Deok-Joo Lee et al.
Cross-Constrained Progressive Inference for 3D Hand Pose Estimation
ZheHan Kan, Xueting Hu, Zihan Liao et al.
Intelligent Calibration for Bias Reduction in Sentiment Corpora Annotation Process
Idan Toker, David Sarne, Jonathan Schler
Decomposing Constraint Networks for Calculating c-Representations
Marco Wilhelm, Gabriele Kern-Isberner
Embedded Feature Selection on Graph-Based Multi-View Clustering
Guangfei Li, Haizhou Yang, Quanxue Gao et al.
Intrinsic Action Tendency Consistency for Cooperative Multi-Agent Reinforcement Learning
Junkai Zhang, Yifan Zhang, Xi Sheryl Zhang et al.
A Learnable Discrete-Prior Fusion Autoencoder with Contrastive Learning for Tabular Data Synthesis
Rongchao Zhang, Yu Huang, Yiwei Lou et al.
On the Convergence of an Adaptive Momentum Method for Adversarial Attacks
Sheng Long, Wei Tao, Shuohao LI et al.
Well, Now We Know! Unveiling Sarcasm: Initiating and Exploring Multimodal Conversations with Reasoning
Gopendra Singh, Mauajama Firdaus, Dushyant Singh Chauhan et al.
Decoding AI’s Nudge: A Unified Framework to Predict Human Behavior in AI-Assisted Decision Making
Zhuoyan Li, Zhuoran Lu, Ming Yin
StegFormer: Rebuilding the Glory of Autoencoder-Based Steganography
Xiao Ke, Huanqi Wu, Wenzhong Guo
Transferable Video Moment Localization by Moment-Guided Query Prompting
Hao Jiang, Yang Yizhang, Yadong Mu
Energy-Efficient Streaming Time Series Classification with Attentive Power Iteration
Hao Huang, Tapan Shah, Scott Evans et al.
BEV-MAE: Bird’s Eye View Masked Autoencoders for Point Cloud Pre-training in Autonomous Driving Scenarios
ZhiWei Lin, Yongtao Wang, Shengxiang Qi et al.
PORTAL: Automatic Curricula Generation for Multiagent Reinforcement Learning
Jizhou Wu, Jianye Hao, Tianpei Yang et al.
Compositional Generalization for Multi-Label Text Classification: A Data-Augmentation Approach
Yuyang Chai, Zhuang Li, Jiahui Liu et al.
M3D: Dataset Condensation by Minimizing Maximum Mean Discrepancy
Hansong Zhang, Shikun Li, Pengju Wang et al.
Principle Component Trees and Their Persistent Homology
Ben Kizaric, Daniel Pimentel-Alarcon
Knowledge-Aware Explainable Reciprocal Recommendation
Kai-Huang Lai, Zhe-Rui Yang, Pei-Yuan Lai et al.
Threshold-Based Responsive Simulated Annealing for Directed Feedback Vertex Set Problem
Qingyun Zhang, YuMing Du, Zhipeng Lü et al.
Data Poisoning to Fake a Nash Equilibria for Markov Games
Young Wu, Jeremy McMahan, Xiaojin Zhu et al.
Improving the Robustness of Knowledge-Grounded Dialogue via Contrastive Learning
Jiaan Wang, JIanfeng Qu, Kexin Wang et al.
Ghost Noise for Regularizing Deep Neural Networks
Atli Kosson, Dongyang Fan, Martin Jaggi
A Sequentially Fair Mechanism for Multiple Sensitive Attributes
Francois HU, Philipp Ratz, Arthur Charpentier
From GARCH to Neural Network for Volatility Forecast
Pengfei Zhao, Haoren ZHU, Wilfred Ng et al.
Robust Visual Recognition with Class-Imbalanced Open-World Noisy Data
Na Zhao, Gim Hee Lee