Most Cited AAAI "nonstationary kernel design" Papers

DanceMVP: Self-Supervised Learning for Multi-Task Primitive-Based Dance Performance

Yun Zhong, Yiannis Demiris

Assessment via Transformer Text Prompting

CK12: A Rounded K12 Knowledge Graph Based Benchmark for Chinese Holistic Cognition

Weihao You, Pengcheng Wang, Changlong Li et al.

GO-DICE: Goal-Conditioned Option-Aware Offline Imitation Learning via Stationary Distribution Correction Estimation

Abhinav Jain, Vaibhav Unhelkar

Neural Embeddings for kNN Search in Biological Sequence

Zhihao Chang, Linzhu Yu, Yanchao Xu et al.

Online Conversion Rate Prediction via Multi-Interval Screening and Synthesizing under Delayed Feedback

Qiming Liu, Xiang Ao, Yuyao Guo et al.

Motion Deblurring via Spatial-Temporal Collaboration of Frames and Events

Wen Yang, Jinjian Wu, Jupo Ma et al.

Tree-of-Reasoning Question Decomposition for Complex Question Answering with Large Language Models

Kun Zhang, Jiali Zeng, Fandong Meng et al.

Automated Defect Report Generation for Enhanced Industrial Quality Control

Jiayuan Xie, Zhiping Zhou, Zihan Wu et al.

A Computation-Aware Shape Loss Function for Point Cloud Completion

Shunran Zhang, Xiubo Zhang, Tsz Nam Chan et al.

Towards Molecular Structure Discovery from Cryo-ET Density Volumes via Modelling Auxiliary Semantic Prototypes

Ashwin Nair, Xingjian Li, Mostofa Rafid Uddin et al.

Finding Interpretable Class-Specific Patterns through Efficient Neural Search

Nils Philipp Walter, Jonas Fischer, Jilles Vreeken

Adversarial Purification with the Manifold Hypothesis

Zhaoyuan Yang, Zhiwei Xu, Jing Zhang et al.

Cross-Gate MLP with Protein Complex Invariant Embedding Is a One-Shot Antibody Designer

Cheng Tan, Zhangyang Gao, Lirong Wu et al.

Learning to Unlearn: Instance-Wise Unlearning for Pre-trained Classifiers

Sungmin Cha, Sungjun Cho, Dasol Hwang et al.

Visual Instruction Tuning with Polite Flamingo

Delong Chen, Jianfeng Liu, Wenliang Dai et al.

Rethinking Propagation for Unsupervised Graph Domain Adaptation

Meihan Liu, Zeyu Fang, Zhen Zhang et al.

Arithmetic Feature Interaction Is Necessary for Deep Tabular Learning

Yi Cheng, Renjun Hu, Haochao Ying et al.

DiffRAW: Leveraging Diffusion Model to Generate DSLR-Comparable Perceptual Quality sRGB from Smartphone RAW Images

Mingxin Yi, Kai Zhang, Pei Liu et al.

Optimistic Model Rollouts for Pessimistic Offline Policy Optimization

Yuanzhao Zhai, Yiying Li, Zijian Gao et al.

CIDR: A Cooperative Integrated Dynamic Refining Method for Minimal Feature Removal Problem

Qian Chen, Taolin Zhang, Dongyang Li et al.

Learning Multimodal Volumetric Features for Large-Scale Neuron Tracing

Qihua Chen, Xuejin Chen, Chenxuan Wang et al.

DART: Dual-Modal Adaptive Online Prompting and Knowledge Retention for Test-Time Adaptation

Zichen Liu, Hongbo Sun, Yuxin Peng et al.

One-Step Forward and Backtrack: Overcoming Zig-Zagging in Loss-Aware Quantization Training

Lianbo Ma, Yuee Zhou, Jianlun Ma et al.

VQAttack: Transferable Adversarial Attacks on Visual Question Answering via Pre-trained Models

Ziyi Yin, Muchao Ye, Tianrong Zhang et al.

Behavioral Recognition of Skeletal Data Based on Targeted Dual Fusion Strategy

Xiao Yun, Chenglong Xu, Kevin Riou et al.

Contextual Pre-planning on Reward Machine Abstractions for Enhanced Transfer in Deep Reinforcement Learning

Guy Azran, Mohamad H Danesh, Stefano Albrecht et al.

EnMatch: Matchmaking for Better Player Engagement via Neural Combinatorial Optimization

Kai Wang, Haoyu Liu, Zhipeng Hu et al.

Graph of Thoughts: Solving Elaborate Problems with Large Language Models

Maciej Besta, Nils Blach, Ales Kubicek et al.

Incomplete Contrastive Multi-View Clustering with High-Confidence Guiding

Uncertainty Quantification for Data-Driven Change-Point Learning via Cross-Validation

End-to-End Verification for Subgraph Solving

When Model Meets New Normals: Test-Time Adaptation for Unsupervised Time-Series Anomaly Detection

A Unified Environmental Network for Pedestrian Trajectory Prediction

Guoqing Chao, Yi Jiang, Dianhui Chu

Empowering CAM-Based Methods with Capability to Generate Fine-Grained and High-Faithfulness Explanations

Changqing Qiu, Fusheng Jin, Yining Zhang

Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning

Junseok Park, Yoonsung Kim, Hee bin Yoo et al.

Layer Collaboration in the Forward-Forward Algorithm

Guy Lorberbom, Itai Gat, Yossi Adi et al.

HOP to the Next Tasks and Domains for Continual Learning in NLP

Umberto Michieli, Mete Ozay

A Fixed-Parameter Tractable Algorithm for Counting Markov Equivalence Classes with the Same Skeleton

Vidya Sagar Sharma

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.

1497 Once and for All: Universal Transferable Adversarial Perturbation against Deep Hashing-Based Facial Image Retrieval

Long Tang, Dengpan Ye, Yunna Lv 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.

Adaptive Integration of Partial Label Learning and Negative Learning for Enhanced Noisy Label Learning

Mengmeng Sheng, Zeren Sun, Zhenhuang Cai 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.