Most Cited AAAI "spectral mixture kernels" Papers

Dynamic Budget Throttling in Repeated Second-Price Auctions

Zhaohua Chen, Chang Wang, Qian Wang et al.

A Local-Ascending-Global Learning Strategy for Brain-Computer Interface

Dongrui Gao, Haokai Zhang, Pengrui Li et al.

Data Roaming and Quality Assessment for Composed Image Retrieval

Matan Levy, Rami Ben-Ari, Nir Darshan et al.

CONSIDER: Commonalities and Specialties Driven Multilingual Code Retrieval Framework

Rui Li, LiYang He, Qi Liu et al.

Turning Dust into Gold: Distilling Complex Reasoning Capabilities from LLMs by Leveraging Negative Data

Yiwei Li, Peiwen Yuan, Shaoxiong Feng et al.

Beyond Entities: A Large-Scale Multi-Modal Knowledge Graph with Triplet Fact Grounding

Jingping Liu, Mingchuan Zhang, Weichen Li et al.

Analytically Tractable Models for Decision Making under Present Bias

Yasunori Akagi, Naoki Marumo, Takeshi Kurashima

Rethinking Dimensional Rationale in Graph Contrastive Learning from Causal Perspective

Qirui Ji, Jiangmeng Li, Jie Hu et al.

A Joint Framework with Heterogeneous-Relation-Aware Graph and Multi-Channel Label Enhancing Strategy for Event Causality Extraction

Ruili Pu, Yang Li, Jun Zhao et al.

Large Occluded Human Image Completion via Image-Prior Cooperating

Hengrun Zhao, Yu Zeng, Huchuan Lu et al.

SeqGPT: An Out-of-the-Box Large Language Model for Open Domain Sequence Understanding

Tianyu Yu, Chengyue Jiang, Chao Lou et al.

Non-excludable Bilateral Trade between Groups

Yixuan Even Xu, Hanrui Zhang, Vincent Conitzer

Learning to Learn in Interactive Constraint Acquisition

Dimosthenis Tsouros, Senne Berden, Tias Guns

CamoDiffusion: Camouflaged Object Detection via Conditional Diffusion Models

Zhongxi Chen, Ke Sun, Xianming Lin

Mastering Context-to-Label Representation Transformation for Event Causality Identification with Diffusion Models

Hieu Man, Franck Dernoncourt, Thien Huu Nguyen

QDETRv: Query-Guided DETR for One-Shot Object Localization in Videos

Yogesh Kumar, Saswat Mallick, Anand Mishra et al.

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

Huy Hoang, Tien Mai, Pradeep Varakantham

Towards Equipping Transformer with the Ability of Systematic Compositionality

Chen Huang, Peixin Qin, Wenqiang Lei et al.

Peer Learning: Learning Complex Policies in Groups from Scratch via Action Recommendations

Cedric Derstroff, Jannis Brugger, Mattia Cerrato et al.

Rethinking Two-Stage Referring Expression Comprehension: A Novel Grounding and Segmentation Method Modulated by Point

Peizhi Zhao, Shiyi Zheng, Wenye Zhao et al.

MotionMix: Weakly-Supervised Diffusion for Controllable Motion Generation

Nhat Hoang, Kehong Gong, Chuan Guo et al.

Relational Programming with Foundational Models

Ziyang Li, Jiani Huang, Jason Liu et al.

PVALane: Prior-Guided 3D Lane Detection with View-Agnostic Feature Alignment

Zewen Zheng, Xuemin Zhang, Yongqiang Mou et al.

Simplifying Complex Observation Models in Continuous POMDP Planning with Probabilistic Guarantees and Practice

Idan Lev-Yehudi, Moran Barenboim, Vadim Indelman

Responsibility in Extensive Form Games

Personalized Reinforcement Learning with a Budget of Policies

Dmitry Ivanov, Omer Ben-Porat

Repurposing Ensemble of Black-Box Models to New Task Domains

Minh Hoang, Nghia Hoang

Abstraction of Situation Calculus Concurrent Game Structures

Yves Lesperance, Giuseppe De Giacomo, Maryam Rostamigiv et al.

ViLT-CLIP: Video and Language Tuning CLIP with Multimodal Prompt Learning and Scenario-guided Optimization

Hao Wang, Fang Liu, Licheng Jiao et al.

An Autoregressive Text-to-Graph Framework for Joint Entity and Relation Extraction

Urchade Zaratiana, Nadi Tomeh, Pierre Holat et al.

HGE: Embedding Temporal Knowledge Graphs in a Product Space of Heterogeneous Geometric Subspaces

Jiaxin Pan, Mojtaba Nayyeri, Yinan Li et al.

Causal Representation Learning via Counterfactual Intervention

Xiutian Li, Siqi Sun, Rui Feng

Improving Factual Error Correction by Learning to Inject Factual Errors

Xingwei He, Qianru Zhang, A-Long Jin et al.

A Class of Topological Pseudodistances for Fast Comparison of Persistence Diagrams

Rolando Kindelan Nuñez, Mircea Petrache, Mauricio Cerda et al.

TD²-Net: Toward Denoising and Debiasing for Video Scene Graph Generation

Xin Lin, Chong Shi, Yibing Zhan et al.

Improving Automatic VQA Evaluation Using Large Language Models

Oscar Mañas, Benno Krojer, Aishwarya Agrawal

Layer-Wise Representation Fusion for Compositional Generalization

Yafang Zheng, Lei Lin, Shuangtao Li et al.

FedA3I: Annotation Quality-Aware Aggregation for Federated Medical Image Segmentation against Heterogeneous Annotation Noise

Nannan Wu, Zhaobin Sun, Zengqiang Yan et al.

MM-TTS: Multi-Modal Prompt Based Style Transfer for Expressive Text-to-Speech Synthesis

Wenhao Guan, Yishuang Li, Tao Li et al.

Practical Privacy-Preserving MLaaS: When Compressive Sensing Meets Generative Networks

Jia Wang, Wuqiang Su, Zushu Huang et al.

Towards Fairness in Online Service with K Servers and Its Applications in Fair Food Delivery

Daman Deep Singh, Amit Kumar, Abhijnan Chakraborty

Generating Images of Rare Concepts Using Pre-trained Diffusion Models

Dvir Samuel, Rami Ben-Ari, Simon Raviv et al.

CTO-SLAM: Contour Tracking for Object-Level Robust 4D SLAM

Xiaohan Li, Dong Liu, Jun Wu

RR-PU: A Synergistic Two-Stage Positive and Unlabeled Learning Framework for Robust Tax Evasion Detection

Shuzhi Cao, Jianfei Ruan, Bo Dong et al.

Complementary Knowledge Distillation for Robust and Privacy-Preserving Model Serving in Vertical Federated Learning

Dashan Gao, Sheng Wan, Lixin Fan et al.

Manipulation-Robust Selection of Citizens’ Assemblies

Bailey Flanigan, Jennifer Liang, Ariel Procaccia et al.

Structure-Aware Multimodal Sequential Learning for Visual Dialog

Youngjin Kim, Min-Jun Kim, Kyunghwan An et al.

Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability

Seokhyeon Ha, Sunbeom Jeong, Jungwoo Lee

Content Filtering with Inattentive Information Consumers

Justin Grana, Alex Slivkins, Brendan Lucier et al.

Enhancing the Efficiency of Altruism and Taxes in Affine Congestion Games through Signalling

Vittorio Bilò, Cosimo Vinci

Optimal Quasi-clique: Hardness, Equivalence with Densest-$k$-Subgraph, and Quasi-partitioned Community Mining

Aritra Konar, Nicholas Sidiropoulos

Learning Real-World Image De-weathering with Imperfect Supervision

Xiaohui Liu, Zhilu Zhang, Xiaohe Wu et al.

RetouchFormer: Semi-supervised High-Quality Face Retouching Transformer with Prior-Based Selective Self-Attention

Xue Wen, Lianxin Xie, Le Jiang et al.

A Two-Stage Information Extraction Network for Incomplete Multi-View Multi-Label Classification

Xin Tan, Ce Zhao, Chengliang Liu et al.

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