Most Cited AAAI "dynamic trigger optimization" Papers

Towards Audio-Visual Navigation in Noisy Environments: A Large-Scale Benchmark Dataset and an Architecture Considering Multiple Sound-Sources

Zhanbo Shi, Lin Zhang, Linfei Li et al.

Improved Maximin Share Approximations for Chores by Bin Packing

Jugal Garg, Xin Huang, Erel Segal-Halevi

Collaborative Evolution: Multi-Round Learning Between Large and Small Language Models for Emergent Fake News Detection

Ziyi Zhou, Xiaoming Zhang, Shenghan Tan et al.

Towards Efficient Object Re-Identification with a Novel Cloud-Edge Collaborative Framework

Chuanming Wang, Yuxin Yang, Mengshi Qi et al.

Correcting Large Language Model Behavior via Influence Function

Han Zhang, Zhuo Zhang, Yi Zhang et al.

DARR: A Dual-Branch Arithmetic Regression Reasoning Framework for Solving Machine Number Reasoning

Chengtai Li, Yee Yang Tan, Yuting He et al.

Multilingual Mathematical Reasoning: Advancing Open-Source LLMs in Hindi and English

Avinash Anand, Kritarth Prasad, Chhavi Kirtani et al.

SAM-Aware Graph Prompt Reasoning Network for Cross-Domain Few-Shot Segmentation

Shi-Feng Peng, Guolei Sun, Yong Li et al.

AIM: Additional Image Guided Generation of Transferable Adversarial Attacks

Teng Li, Xingjun Ma, Yu-Gang Jiang

Distributed Manifold Hashing for Image Set Classification and Retrieval

Xiaobo Shen, Peizhuo Song, Yun-Hao Yuan et al.

Quality over Quantity: Boosting Data Efficiency Through Ensembled Multimodal Data Curation

Jinda Xu, Yuhao Song, Daming Wang et al.

Promoting Knowledge Base Question Answering by Directing LLMs to Generate Task-relevant Logical Forms

Jianqi Gao, Jian Cao, Ranran Bu et al.

Piecewise Linear Transformation – Propagating Aleatoric Uncertainty in Neural Networks

Thomas Krapf, Michael Hagn, Paul Miethaner et al.

Pioneer: Physics-informed Riemannian Graph ODE for Entropy-increasing Dynamics

Li Sun, Ziheng Zhang, Zixi Wang et al.

Towards Generalizable Multi-Camera 3D Object Detection via Perspective Rendering

Hao Lu, Yunpeng Zhang, Guoqing Wang et al.

Few-Shot Learning from Augmented Label-Uncertain Queries in Bongard-HOI

Qinqian Lei, Bo Wang, Robby T. Tan

ST-FiT: Inductive Spatial-Temporal Forecasting with Limited Training Data

Zhenyu Lei, Yushun Dong, Jundong Li et al.

Riemann-based Multi-scale Attention Reasoning Network for Text-3D Retrieval

Wenrui Li, Wei Han, Yandu Chen et al.

Analytically Tractable Models for Decision Making under Present Bias

Yasunori Akagi, Naoki Marumo, Takeshi Kurashima

Relational Distant Supervision for Image Captioning without Image-Text Pairs

Yayun Qi, Wentian Zhao, Xinxiao Wu

Max-Mahalanobis Anchors Guidance for Multi-View Clustering

Pei Zhang, Yuangang Pan, Siwei Wang et al.

Every Bit Helps: Achieving the Optimal Distortion with a Few Queries

Soroush Ebadian, Nisarg Shah

A Practical Approach to Causal Inference over Time

Martina Cinquini, Isacco Beretta, Salvatore Ruggieri et al.

DeepSN: A Sheaf Neural Framework for Influence Maximization

Asela Hevapathige, Qing Wang, Ahad N. Zehmakan

Relational Neurosymbolic Markov Models

Lennert De Smet, Gabriele Venturato, Luc De Raedt et al.

Unveiling the Threat of Fraud Gangs to Graph Neural Networks: Multi-Target Graph Injection Attacks Against GNN-Based Fraud Detectors

Jinhyeok Choi, Heehyeon Kim, Joyce Jiyoung Whang

Robustness Verification of Deep Reinforcement Learning Based Control Systems Using Reward

Dapeng Zhi, Peixin Wang, Cheng Chen et al.

Enhancing Implicit Neural Representations via Symmetric Power Transformation

Weixiang Zhang, Shuzhao Xie, Chengwei Ren et al.

CoLAL: Co-learning Active Learning for Text Classification

Linh Le, Genghong Zhao, Xia Zhang et al.

Realistic Noise Synthesis with Diffusion Models

Qi Wu, Mingyan Han, Ting Jiang et al.

Robust Beamforming for Downlink Multi-Cell Systems: A Bilevel Optimization Perspective

Xingdi Chen, Yu Xiong, Kai YANG

Learning Multi-Object Positional Relationships via Emergent Communication

Yicheng Feng, Boshi An, Zongqing Lu

SAUGE: Taming SAM for Uncertainty-Aligned Multi-Granularity Edge Detection

Xing Liufu, Chaolei Tan, Xiaotong Lin et al.

PRP Rebooted: Advancing the State of the Art in FOND Planning

Christian Muise, Sheila McIlraith, J. Christopher Beck

BAND: Biomedical Alert News Dataset

Zihao Fu, Meiru Zhang, Zaiqiao Meng et al.

Community-Centric Graph Unlearning

Yi Li, Shichao Zhang, Guixian Zhang et al.

Enhancing Contrastive Learning Inspired by the Philosophy of “The Blind Men and the Elephant”

Yudong Zhang, Ruobing Xie, Jiansheng Chen et al.

GTDE: Grouped Training with Decentralized Execution for Multi-agent Actor-Critic

Mengxian Li, Qi Wang, Yongjun Xu

Fairness Shields: Safeguarding against Biased Decision Makers

Filip Cano, Thomas A. Henzinger, Bettina Könighofer et al.

Reconstruction Target Matters in Masked Image Modeling for Cross-Domain Few-Shot Learning

Ran Ma, Yixiong Zou, Yuhua Li et al.

InvSeg: Test-Time Prompt Inversion for Semantic Segmentation

Jiayi Lin, Jiabo Huang, Jian Hu et al.

Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations

Woojin Cho, Seunghyeon Cho, Hyundong Jin et al.

Ultra-High-Definition Dynamic Multi-Exposure Image Fusion via Infinite Pixel Learning

Xingchi Chen, Zhuoran Zheng, Xuerui Li et al.

Convergence Rate in a Nonlinear Two-Time-Scale Stochastic Approximation with State (Time)-Dependence

Zixi Chen, Yumin Xu, Ruixun Zhang

Semi-supervised Infrared Small Target Detection with Thermodynamic-Inspired Uneven Perturbation and Confidence Adaptation

Mingjin Zhang, Wenteng Shang, Fei Gao et al.

Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs

Tianyuan Jin, Hao-Lun Hsu, William Chang et al.

RingFormer: A Ring-Enhanced Graph Transformer for Organic Solar Cell Property Prediction

Zhihao Ding, Ting Zhang, Yiran Li et al.

Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling

Jie Han, Yixiong Zou, Haozhao Wang et al.

Exact Algorithms and Lower Bounds for Forming Coalitions of Constrained Maximum Size

Foivos Fioravantes, Harmender Gahlawat, Nikolaos Melissinos

DHAKR: Learning Deep Hierarchical Attention-Based Kernelized Representations for Graph Classification

Feifei Qian, Lu Bai, Lixin Cui et al.

Mind the Uncertainty in Human Disagreement: Evaluating Discrepancies Between Model Predictions and Human Responses in VQA

Jian Lan, Diego Frassinelli, Barbara Plank

Event2Tracking: Reconstructing Multi-Agent Soccer Trajectories Using Long-Term Multimodal Context

Harry Hughes, Michael Horton, Xinyu Wei et al.

Quantified Linear and Polynomial Arithmetic Satisfiability via Template-based Skolemization

Krishnendu Chatterjee, Ehsan Kafshdar Goharshady, Mehrdad Karrabi et al.

Accelerated Methods with Compressed Communications for Distributed Optimization Problems Under Data Similarity

Dmitry Bylinkin, Aleksandr Beznosikov

Exploring Temporal Event Cues for Dense Video Captioning in Cyclic Co-Learning

Zhuyang Xie, Yan Yang, Yankai Yu et al.

MCGAN: Enhancing GAN Training with Regression-Based Generator Loss

Baoren Xiao, Hao Ni, Weixin Yang

Exploit Gradient Skewness to Circumvent Byzantine Defenses for Federated Learning

Yuchen Liu, Chen Chen, Lingjuan Lyu et al.

LRM-LLaVA: Overcoming the Modality Gap of Multilingual Large Language-Vision Model for Low-Resource Languages

Junchen Li, Qing Yang, Bojian Jiang et al.

Neural Conformal Control for Time Series Forecasting

Ruipu Li, Alexander Rodríguez

Causal Strategic Learning with Competitive Selection

Mediation Analysis for Probabilities of Causation

Yuta Kawakami, Jin Tian

Active Reinforcement Learning Strategies for Offline Policy Improvement

Ambedkar Dukkipati, Ranga Shaarad Ayyagari, Bodhisattwa Dasgupta et al.

Adaptive Dataset Quantization

Muquan Li, Dongyang Zhang, Qiang Dong et al.

Decentralized and Uncoordinated Learning of Stable Matchings: A Game-Theoretic Approach

S. Rasoul Etesami, R. Srikant

Vox-UDA: Voxel-wise Unsupervised Domain Adaptation for Cryo-Electron Subtomogram Segmentation with Denoised Pseudo-Labeling

Haoran Li, Xingjian Li, Jiahua Shi et al.

A Sample-Level Evaluation and Generative Framework for Model Inversion Attacks

Haoyang Li, Li Bai, Qingqing Ye et al.

Efficient Training of Neural Fractional-Order Differential Equation via Adjoint Backpropagation

Qiyu Kang, Xuhao Li, Kai Zhao et al.

Learning Uncertainty-Aware Temporally-Extended Actions

Joongkyu Lee, Seung Joon Park, Yunhao Tang et al.

Multi-StyleGS: Stylized Gaussian Splatting with Multiple Styles

Yangkai Lin, Jiabao Lei, Kui Jia

Online and Streaming Algorithms for Constrained k-Submodular Maximization

Fabian Christian Spaeh, Alina Ene, Huy Nguyen

The Impact of Literal Sorting on Cardinality Constraint Encodings

Joseph E. Reeves, João Filipe, Min-Chien Hsu et al.

MLAAN: Scaling Supervised Local Learning with Multilaminar Leap Augmented Auxiliary Network

Yuming Zhang, Shouxin Zhang, Peizhe Wang et al.

Multi-Region Text-Driven Manipulation of Diffusion Imagery

Yiming Li, Peng Zhou, Jun Sun et al.

Weighted Poisson-disk Resampling on Large-Scale Point Clouds

Xianhe Jiao, Chenlei Lv, Junli Zhao et al.

Representing Sounds as Neural Amplitude Fields: A Benchmark of Coordinate-MLPs and a Fourier Kolmogorov-Arnold Framework

Linfei Li, Lin Zhang, Zhong Wang et al.

Adversarial-Inspired Backdoor Defense via Bridging Backdoor and Adversarial Attacks

Jia-Li Yin, Weijian Wang, Lyhwa et al.

On the Computational Complexity of Plan Verification, (Bounded) Plan-Optimality Verification, and Bounded Plan Existence

Songtuan Lin, Conny Olz, Malte Helmert et al.

Tree Search-Based Evolutionary Bandits for Protein Sequence Optimization

Jiahao Qiu, Hui Yuan, Jinghong Zhang et al.

SSLFusion: Scale and Space Aligned Latent Fusion Model for Multimodal 3D Object Detection

Bonan Ding, Jin Xie, Jing Nie et al.

BUFF: Bayesian Uncertainty Guided Diffusion Probabilistic Model for Single Image Super-Resolution

Zihao He, Shengchuan Zhang, Runze Hu et al.

PLATYPUS: Progressive Local Surface Estimator for Arbitrary-Scale Point Cloud Upsampling

Donghyun Kim, Hyeonkyeong Kwon, Yumin Kim et al.

Probabilistic Offline Policy Ranking with Approximate Bayesian Computation

Longchao Da, Porter Jenkins, Trevor Schwantes et al.

Generalized Debiased Semi-Supervised Hashing for Large-Scale Image Retrieval

Xingbo Liu, Xuening Zhang, Xiushan Nie et al.

HiGDA: Hierarchical Graph of Nodes to Learn Local-to-Global Topology for Semi-Supervised Domain Adaptation

Ba Hung Ngo, Doanh C. Bui, Nhat-Tuong Do-Tran et al.

PBECount: Prompt-Before-Extract Paradigm for Class-Agnostic Counting

Canchen Yang, Tianyu Geng, Jian Peng et al.

GaitCycFormer: Leveraging Gait Cycles and Transformers for Gait Emotion Recognition.

Qingyang Zeng, Lin Shang

Rule-Guided Graph Neural Networks for Explainable Knowledge Graph Reasoning

Zhe Wang, Suxue Ma, Kewen Wang et al.

ML-GOOD: Towards Multi-Label Graph Out-Of-Distribution Detection

Tingyi Cai, Yunliang Jiang, Ming Li et al.

MIETT: Multi-Instance Encrypted Traffic Transformer for Encrypted Traffic Classification

Xu-Yang Chen, Lu Han, De-Chuan Zhan et al.

Scaling Diffusion Mamba with Bidirectional SSMs for Efficient 3D Shape Generation

Shentong Mo

First-Order Federated Bilevel Learning

Yifan Yang, Peiyao Xiao, Shiqian Ma et al.

Controllable 3D Dance Generation Using Diffusion-Based Transformer U-Net

Puyuan Guo, Tuo Hao, Wenxin Fu et al.

DUSTED: Dual-Attention Enhanced Spatial Transcriptomics Denoiser

Jun Zhu, Yifu Li, Zhenchao Tang et al.

Contrastive Functional Principal Component Analysis

Eric Zhang, Didong Li

KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs

Ruoqi Liu, Lingfei Wu, Ping Zhang

SPACETIME: Causal Discovery from Non-Stationary Time Series

Sarah Mameche, Lénaïg Cornanguer, Urmi Ninad et al.

WorldAPIs: The World Is Worth How Many APIs? A Thought Experiment

Jiefu Ou, Arda Uzunoğlu, Benjamin Van Durme et al.

Factored Online Planning in Many-Agent POMDPs

Maris Galesloot, Thiago Simão, Sebastian Junges et al.

Revisiting Attention for Multivariate Time Series Forecasting

Haixiang Wu

TCAQ-DM: Timestep-Channel Adaptive Quantization for Diffusion Models

Haocheng Huang, Jiaxin Chen, Jinyang Guo et al.

Neural Assembler: Learning to Generate Fine-Grained Robotic Assembly Instructions from Multi-View Images

Hongyu Yan, Yadong Mu

Abstract Action Scheduling for Optimal Temporal Planning via OMT

Stefan Panjkovic, Andrea Micheli

K-hop Hypergraph Neural Network: A Comprehensive Aggregation Approach

Linhuang Xie, Shihao Gao, Jie Liu et al.

Optimizing Human Pose Estimation Through Focused Human and Joint Regions

Yingying Jiao, Zhigang Wang, Zhenguang Liu et al.

ShapeBoost: Boosting Human Shape Estimation with Part-Based Parameterization and Clothing-Preserving Augmentation

Siyuan Bian, Jiefeng Li, Jiasheng Tang et al.

Zero-Shot Image Captioning with Multi-type Entity Representations

Delong Zeng, Ying Shen, Man Lin et al.

Make Domain Shift a Catastrophic Forgetting Alleviator in Class-Incremental Learning

Wei Chen, Yi Zhou

Deletion-Robust Submodular Maximization with Knapsack Constraints

Shuang Cui, Kai Han, He Huang

High-Quality Real-Time Rendering Using Subpixel Sampling Reconstruction

Boyu Zhang, Hongliang Yuan

Move and Act: Enhanced Object Manipulation and Background Integrity for Image Editing

Pengfei Jiang, Mingbao Lin, Fei Chao

Efficient Robustness Evaluation via Constraint Relaxation

Chao Pan, Yu Wu, Ke Tang et al.

Curriculum-Enhanced Residual Soft An-Isotropic Normalization for Over-Smoothness in Deep GNNs

Jin Li, Qirong Zhang, Shuling Xu et al.

A Wander Through the Multimodal Landscape: Efficient Transfer Learning via Low-rank Sequence Multimodal Adapter

Zirun Guo, Xize Cheng, Yangyang Wu et al.

Leveraging Group Classification with Descending Soft Labeling for Deep Imbalanced Regression

Ruizhi Pu, Gezheng Xu, Ruiyi Fang et al.

Channel Merging: Preserving Specialization for Merged Experts

Mingyang Zhang, Jing Liu, Ganggui Ding et al.

VG-TVP: Multimodal Procedural Planning via Visually Grounded Text-Video Prompting

Muhammet Furkan Ilaslan, Ali Köksal, Kevin Qinghong Lin et al.

Improved Fixed-Parameter Bounds for Min-Sum-Radii and Diameters k-Clustering and Their Fair Variants

Sandip Banerjee, Yair Bartal, Lee-Ad Gottlieb et al.

Formal Quality Measures for Predictors in Markov Decision Processes

Christel Baier, Sascha Klüppelholz, Jakob Piribauer et al.

Generator Assisted Mixture of Experts for Feature Acquisition in Batch

Vedang Asgaonkar, Aditya Jain, Abir De

Exploring Query Efficient Data Generation Towards Data-Free Model Stealing in Hard Label Setting

Gaozheng Pei, Shaojie Lyu, Ke Ma et al.

Fast Incomplete Multi-view Clustering with Adaptive Similarity Completion and Reconstruction

Deng Xu, Chao Zhang, Cong Guo et al.

FakeDiffer: Distributional Disparity Learning on Differentiated Reconstruction for Face Forgery Detection

Bo Wang, Zhao Zhang, Suiyi Zhao et al.

Alleviating Performance Disparity in Adversarial Spatiotemporal Graph Learning Under Zero-Inflated Distribution

Songran Bai, Yuheng Ji, Yue Liu et al.

Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent

Jiahuan Wang, Hong Chen

Exact Inference for Continuous-Time Gaussian Process Dynamics

Katharina Ensinger, Nicholas Tagliapietra, Sebastian Ziesche et al.

FaceCoresetNet: Differentiable Coresets for Face Set Recognition

Gil Shapira, Yosi Keller

4D Diffusion for Dynamic Protein Structure Prediction with Reference and Motion Guidance

Kaihui Cheng, Ce Liu, Qingkun Su et al.

A Pre-convolved Representation for Plug-and-Play Neural Illumination Fields

Yiyu Zhuang, Qi Zhang, Xuan Wang et al.

Pre-Assignment Problem for Unique Minimum Vertex Cover on Bounded Clique-Width Graphs

Shinwoo An, Yeonsu Chang, Kyungjin Cho et al.

Unified Graph Neural Networks Pre-training for Multi-domain Graphs

Mingkai Lin, Xiaobin Hong, Wenzhong Li et al.

Incremental Quasi-Newton Methods with Faster Superlinear Convergence Rates

Zhuanghua Liu, Luo Luo, Bryan Kian Hsiang Low

Trading Off Quality and Uncertainty Through Multi-Objective Optimisation in Batch Bayesian Optimisation

Chao Jiang, Miqing Li

Foreseeing Reconstruction Quality of Gradient Inversion: An Optimization Perspective

Hyeong Gwon Hong, Yooshin Cho, Hanbyel Cho et al.

Understanding the Generalization of Pretrained Diffusion Models on Out-of-Distribution Data

Sai Niranjan Ramachandran, Rudrabha Mukhopadhyay, Madhav Agarwal et al.

Episodic Return Decomposition by Difference of Implicitly Assigned Sub-trajectory Reward

Haoxin Lin, Hongqiu Wu, Jiaji Zhang et al.

Harmonious Music-driven Group Choreography with Trajectory-Controllable Diffusion

Yuqin Dai, Wanlu Zhu, Ronghui Li et al.

A Layer Selection Approach to Test Time Adaptation

Sabyasachi Sahoo, Mostafa ElAraby, Jonas Ngnawe et al.

Enhancing LLMs via High-Knowledge Data Selection

Feiyu Duan, Xuemiao Zhang, Sirui Wang et al.

Unpaired Multi-Domain Histopathology Virtual Staining Using Dual Path Prompted Inversion

Bing Xiong, Yue Peng, Ranran Zhang et al.

Optimistic Model Rollouts for Pessimistic Offline Policy Optimization

Yuanzhao Zhai, Yiying Li, Zijian Gao et al.

SALSA: Semantically-Aware Latent Space Autoencoder

Kathryn Kirchoff, Travis Maxfield, Alexander Tropsha et al.

Towards Global-Topology Relation Graph for Inductive Knowledge Graph Completion

Ling Ding, Lei Huang, Zhizhi Yu et al.

Heterogeneous Multi-Agent Bandits with Parsimonious Hints

Amirmahdi Mirfakhar, Xuchuang Wang, Jinhang Zuo et al.

Maximizing the Position Embedding for Vision Transformers with Global Average Pooling

Wonjun Lee, Bumsub Ham, Suhyun Kim

ASER: Activation Smoothing and Error Reconstruction for Large Language Model Quantization

Weibo Zhao, Yubin Shi, Xinyu Lyu et al.

Everywhere Attack: Attacking Locally and Globally to Boost Targeted Transferability

Hui Zeng, Sanshuai Cui, Biwei Chen et al.

Dual-branch Graph Feature Learning for NLOS Imaging

Xiongfei Su, Tianyi Zhu, Lina Liu et al.

Prior-Constrained Association Learning for Fine-Grained Generalized Category Discovery

Menglin Wang, Zhun Zhong, Xiaojin Gong

Extracting Interpretable Task-Specific Circuits from Large Language Models for Faster Inference

Jorge García-Carrasco, Alejandro Maté, Juan Trujillo

Enhancing Multimodal Affective Analysis with Learned Live Comment Features

Zhaoyuan Deng, Amith Ananthram, Kathleen McKeown

Engineering an Exact Pseudo-Boolean Model Counter

Suwei Yang, Kuldeep S Meel

Semi-IIN: Semi-Supervised Intra-Inter Modal Interaction Learning Network for Multimodal Sentiment Analysis

Jinhao Lin, Yifei Wang, Yanwu Xu et al.

SoundCount: Sound Counting from Raw Audio with Dyadic Decomposition Neural Network

Yuhang He, Zhuangzhuang Dai, Niki Trigoni et al.

Monte Carlo Tree Search in the Presence of Transition Uncertainty

Farnaz Kohankhaki, Kiarash Aghakasiri, Hongming Zhang et al.

GaussianPainter: Painting Point Cloud into 3D Gaussians with Normal Guidance

Jingqiu Zhou, Lue Fan, Xuesong Chen et al.

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

Weihao You, Pengcheng Wang, Changlong Li et al.

Local Causal Discovery for Structural Evidence of Direct Discrimination

Jacqueline Maasch, Kyra Gan, Violet Chen et al.

Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied Scenarios

Yuxin Wang, Zunlei Feng, Haofei Zhang et al.

GRSN: Gated Recurrent Spiking Neurons for POMDPs and MARL

Lang Qin, Ziming Wang, Runhao Jiang et al.

Batch Normalization Is Blind to the First and Second Derivatives of the Loss

Zhanpeng Zhou, Wen Shen, Huixin Chen et al.

Continuous Rotation Group Equivariant Network Inspired by Neural Population Coding

Zhiqiang Chen, Yang Chen, xiaolong Zou et al.

Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting

Reza Nematirad, Anil Pahwa, Balasubramaniam Natarajan

Multi-Modal Latent Variables for Cross-Individual Primary Visual Cortex Modeling and Analysis

Yu Zhu, Bo Lei, Chunfeng Song et al.

Political Actor Agent: Simulating Legislative System for Roll Call Votes Prediction with Large Language Models

Hao Li, Ruoyuan Gong, Hao Jiang

ALADE-SNN: Adaptive Logit Alignment in Dynamically Expandable Spiking Neural Networks for Class Incremental Learning

Wenyao Ni, Jiangrong Shen, Qi Xu et al.

Manifold-Based Verbalizer Space Re-embedding for Tuning-Free Prompt-Based Classification

Haochun Wang, Sendong Zhao, Chi Liu et al.

MULTISCRIPT: Multimodal Script Learning for Supporting Open Domain Everyday Tasks

Jingyuan Qi, Minqian Liu, Ying Shen et al.

EvSTVSR: Event Guided Space-Time Video Super-Resolution

Haojie Yan, Zhan Lu, Zehao Chen et al.

Prompt-SID: Learning Structural Representation Prompt via Latent Diffusion for Single Image Denoising

Huaqiu Li, Wang Zhang, Xiaowan Hu et al.

Private Blotto: Viewpoint Competition with Polarized Agents

Kate Donahue, Jon Kleinberg

Learning Dynamic Similarity by Bidirectional Hierarchical Sliding Semantic Probe for Efficient Text Video Retrieval

Yang Liu, Shudong Huang, Deng Xiong et al.

The Cost Perspective of Liquid Democracy: Feasibility and Control

Shiri Alouf-Heffetz, Łukasz Janeczko, Grzegorz Lisowski et al.

Multi-View Pedestrian Occupancy Prediction with a Novel Synthetic Dataset

Sithu Aung, Min-Cheol Sagong, Junghyun Cho

DeepBranchTracer: A Generally-Applicable Approach to Curvilinear Structure Reconstruction Using Multi-Feature Learning

Chao Liu, Ting Zhao, Nenggan Zheng

Hardness of Random Reordered Encodings of Parity for Resolution and CDCL

Leroy Chew, Alexis de Colnet, Friedrich Slivovsky et al.

ISR-DPO: Aligning Large Multimodal Models for Videos by Iterative Self-Retrospective DPO

Daechul Ahn, Yura Choi, San Kim et al.

Relation-Aware Equivariant Graph Networks for Epitope-Unknown Antibody Design and Specificity Optimization

Lirong Wu, Haitao Lin, Yufei Huang et al.

Compressing Streamable Free-Viewpoint Videos to 0.1 MB per Frame

Luyang Tang, Jiayu Yang, Rui Peng et al.

MaskPrompt: Open-Vocabulary Affordance Segmentation with Object Shape Mask Prompts

Dongpan Chen, Dehui Kong, Jinghua Li et al.

Balancing Humans and Machines: A Study on Integration Scale and Its Impact on Collaborative Performance

Rui Zou, Sannyuya Liu, Yawei Luo et al.

SoundBrush: Sound as a Brush for Visual Scene Editing

Kim Sung-Bin, Kim Jun-Seong, Junseok Ko et al.

A Deep Probabilistic Framework for Continuous Time Dynamic Graph Generation

Ryien Hosseini, Filippo Simini, Venkatram Vishwanath et al.

On Inference Stability for Diffusion Models

Viet Nguyen, Giang Vu, Tung Nguyen Thanh et al.

When CEGAR Meets Regression: A Love Story in Optimal Classical Planning

Martín Pozo, Alvaro Torralba, Carlos Linares Lopez

Seg2Box: 3D Object Detection by Point-Wise Semantics Supervision

Maoji Zheng, Ziyu Xu, Qiming Xia et al.

DALDet: Depth-Aware Learning Based Object Detection for Autonomous Driving

K. Hu, Tongbo Cao, Yuan Li et al.

BAIT: Benchmarking (Embedding) Architectures for Interactive Theorem-Proving

Sean Lamont, Michael Norrish, Amir Dezfouli et al.

Multi-concept Model Immunization through Differentiable Model Merging

Amber Yijia Zheng, Raymond A. Yeh

Domain Generalizable Person Search Using Unreal Dataset

Authors: Minyoung Oh, Duhyun Kim, Jae-Young Sim

Personalized Clustering via Targeted Representation Learning

Xiwen Geng, Suyun Zhao, Yixin Yu et al.

CP-DETR: Concept Prompt Guide DETR Toward Stronger Universal Object Detection

Qibo Chen, Weizhong Jin, Jianyue Ge et al.

Reconsidering Feature Structure Information and Latent Space Alignment in Partial Multi-label Feature Selection

Hanlin Pan, Kunpeng Liu, Wanfu Gao

Count What You Want: Exemplar Identification and Few-Shot Counting of Human Actions in the Wild

Yifeng Huang, Duc Nguyen, Nguyễn Lâm et al.

DC-PCN: Point Cloud Completion Network with Dual-Codebook Guided Quantization

Qiuxia Wu, Haiyang Huang, Kunming Su et al.

Root Cause Explanation of Outliers under Noisy Mechanisms

Phuoc Nguyen, Truyen Tran, Sunil Gupta et al.

Batch Ensemble for Variance Dependent Regret in Stochastic Bandits

Asaf Cassel, Orin Levy, Yishay Mansour

Navigating Label Ambiguity for Facial Expression Recognition in the Wild

JunGyu Lee, Yeji Choi, Haksub Kim et al.

COSEE: Consistency-Oriented Signal-Based Early Exiting via Calibrated Sample Weighting Mechanism

Jianing He, Qi Zhang, Hongyun Zhang et al.

Putting People in LLMs’ Shoes: Generating Better Answers via Question Rewriter

Junhao Chen, Bowen Wang, Zhouqiang Jiang et al.

Expand-and-Quantize: Unsupervised Semantic Segmentation Using High-Dimensional Space and Product Quantization

Jiyoung Kim, Kyuhong Shim, Insu Lee et al.