Most Cited AAAI "model unalignment" Papers

GenPlan: Generative Sequence Models as Adaptive Planners

Akash Karthikeyan, Yash Vardhan Pant

Constrained Offline Black-Box Optimization via Risk Evaluation and Management

Yiyi Zhu, Huakang Lu, Yupeng Wu et al.

DiMSOD: A Diffusion-Based Framework for Multi-Modal Salient Object Detection

Shuo Zhang, Jiaming Huang, Wenbing Tang et al.

MoDE: A Mixture

of-Experts Model with Mutual Distillation among the Experts

Can Large Language Models Understand Real

World Complex Instructions?

Dynamic Interactive Bimodal Hypergraph Networks for Emotion Recognition in Conversations

Xuping Chen, Wuzhen Shi

Pragmatist: Multiview Conditional Diffusion Models for High-Fidelity 3D Reconstruction from Unposed Sparse Views

Songchun Zhang, Chunhui Zhao

SceneX: Procedural Controllable Large-Scale Scene Generation

Mengqi Zhou, Yuxi Wang, Jun Hou et al.

Improving Generalization of Deep Neural Networks by Optimum Shifting

Yuyan Zhou, Ye Li, Lei Feng et al.

Hedging and Approximate Truthfulness in Traditional Forecasting Competitions

Mary Monroe, Anish Thilagar, Melody Hsu et al.

VVRec: Reconstruction Attacks on DL-based Volumetric Video Upstreaming via Latent Diffusion Model with Gamma Distribution

Rui Lu, Bihai Zhang, Dan Wang

TGLsta: Low-resource Textual Graph Learning with Semantic and Topological Awareness via LLMs

Qin Zhang, Xiaowei Li, Ziqi Liu et al.

TrojanDec: Data-free Detection of Trojan Inputs in Self-supervised Learning

Yupei Liu, Yanting Wang, Jinyuan Jia

CODE: Confident Ordinary Differential Editing

Bastien Van Delft, Tommaso Martorella, Alexandre Alahi

Image as a Language: Revisiting Scene Text Recognition via Balanced, Unified and Synchronized Vision

Language Reasoning Network

NaMa: Neighbor

Aware Multi-Modal Adaptive Learning for Prostate Tumor Segmentation on Anisotropic MR Images - Runqi Meng, Xiao Zhang, Shijie Huang et al.

Temporal Conjunctive Query Answering via Rewriting

Lukas Westhofen, Jean Christoph Jung, Daniel Neider

Learning Accurate and Bidirectional Transformation via Dynamic Embedding Transportation for Cross

Domain Recommendation

SoftCLIP: Softer Cross

Modal Alignment Makes CLIP Stronger

Other Papers

Exponential-Family Harmoniums with Neural Sufficient Statistics

Azwar Abdulsalam, Joseph G. Makin

Stitching Segments and Sentences towards Generalization in Video-Text Pre-training

Fan Ma, Xiaojie Jin, Heng Wang et al.

Open-Set Graph Domain Adaptation via Separate Domain Alignment

Yu Wang, Ronghang Zhu, Pengsheng Ji et al.

Causally Consistent Normalizing Flow

Qingyang Zhou, Kangjie Lu, Meng Xu

Instruct Where the Model Fails: Generative Data Augmentation via Guided Self-contrastive Fine-tuning

Weijian Ma, Ruoxin Chen, Keyue Zhang et al.

Focus-Then-Decide: Segmentation-Assisted Reinforcement Learning

Alleviating Shifted Distribution in Human Preference Alignment through Meta-Learning

Shihan Dou, Yan Liu, Enyu Zhou et al.

Discriminative Forests Improve Generative Diversity for Generative Adversarial Networks

Junjie Chen, Jiahao Li, Chen Song et al.

Shield Synthesis for LTL Modulo Theories

Andoni Rodríguez, Guy Amir, Davide Corsi et al.

Prototype-Guided Multimodal Relation Extraction based on Entity Attributes

Zefan Zhang, Weiqi Zhang, Yanhui Li et al.

Bagging-Expert Network for Multi-Task Learning: A Depolarization Solution in Multi-Gate Mixture-of-Experts

Gong-Duo Zhang, Ruiqing Chen, Qian Zhao et al.

Federated Graph Learning under Domain Shift with Generalizable Prototypes

Guancheng Wan, Wenke Huang, Mang Ye

Common Sense Bias Modeling for Classification Tasks

Miao Zhang, Zee Fryer, Ben Colman et al.

Authors

- Xinshu Li, Lina Yao

FedCD: Federated Semi-supervised Learning with Class Awareness Balance via Dual Teachers

Yuzhi Liu, Huisi Wu, Jing Qin

Transition-Informed Reinforcement Learning for Large-Scale Stackelberg Mean-Field Games

Pengdeng Li, Runsheng Yu, Xinrun Wang et al.

DiDA: Disambiguated Domain Alignment for Cross-Domain Retrieval with Partial Labels

Haoran Liu, Ying Ma, Ming Yan et al.

WaveFormer: Wavelet Transformer for Noise-Robust Video Inpainting

Zhiliang Wu, Changchang Sun, Hanyu Xuan et al.

Learning Multi-Task Sparse Representation Based on Fisher Information

Yayu Zhang, Yuhua Qian, Guoshuai Ma et al.

Asymmetric Learning for Spectral Graph Neural Networks

Fangbing Liu, Qing Wang

GOALNET: Interleaving Neural Goal Predicate Inference with Classical Planning for Generalization in Robot Instruction Following

Jigyasa Gupta, Shreya Sharma, Shreshth Tuli et al.

Bayesian Inference with Complex Knowledge Graph Evidence

12846 Armin Toroghi, Scott Sanner

A Unified Self-Distillation Framework for Multimodal Sentiment Analysis with Uncertain Missing Modalities

Selective and Orthogonal Feature Activation for Pedestrian Attribute Recognition

Junyi Wu, Yan Huang, Min Gao et al.

Structural Entropy Based Graph Structure Learning for Node Classification

13155 Liang Duan, Xiang Chen, Wenjie Liu et al.

Proportionally Fair Matching via Randomized Rounding

Sharmila Duppala, Nathaniel Grammel, Juan Luque et al.

Generation and Classification Reframing

Fenglong Ma, Hongyang Chen, Hong Yu et al.

Long-Tailed Partial Label Learning by Head Classifier and Tail Classifier Cooperation

10576 Yuheng Jia, Xiaorui Peng, Ran Wang et al.

Accurate Nucleic Acid-Binding Residue Identification Based Domain-Adaptive Protein Language Model and Explainable Geometric Deep Learning

Wenwu Zeng, Liangrui Pan, Boya Ji et al.

The Choice of Noninformative Priors for Thompson Sampling in Multiparameter Bandit Models

Jongyeong Lee, Chao-Kai Chiang, Masashi Sugiyama

Towards More Likely Models for AI Planning

11625 Turgay Caglar, Sirine Belhaj, Tathagata Chakraborty et al.

Occluded Person Re-identification via Saliency-Guided Patch Transfer

821 Lei Tan, Jiaer Xia, Wenfeng Liu et al.

DreamIdentity: Enhanced Editability for Efficient Face-Identity Preserved Image Generation

Zhuowei Chen, Shancheng Fang, Wei Liu et al.

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

Dashan Gao, Sheng Wan, Lixin Fan et al.

Bayesian Optimization for Unknown Cost-Varying Variable Subsets with No-Regret Costs

Vu Viet Hoang, Quoc Anh Hoang Nguyen, Hung The Tran

WeakPCSOD: Overcoming the Bias of Box Annotations for Weakly Supervised Point Cloud Salient Object Detection

2964 Jun Wei, S. Kevin Zhou, Shuguang Cui et al.

Multitarget Device-Free Localization via Cross-Domain Wi-Fi RSS Training Data and Attentional Prior Fusion

Na FAN, Zeyue Tian, Amartansh DUBEY et al.

DOCTR: Disentangled Object-Centric Transformer for Point Scene Understanding

Xiaoxuan Yu, Hao Wang, Weiming Li et al.

Influence-Based Fair Selection for Sample-Discriminative Backdoor Attack

Qi Wei, Shuo He, Jiahan Zhang et al.

Boosting Causal Structure Learning: An Asymmetric Exponential Modulation Gaussian-Based Adaptive Sample Reweighting Framework

Wei Xiao, Hongbin Wang, Ming He et al.

Unveiling Implicit Deceptive Patterns in Multi-Modal Fake News via Neuro-Symbolic Reasoning

1903 Yiqi Dong, Dongxiao He, Xiaobao Wang et al.

KGTS: Contrastive Trajectory Similarity Learning over Prompt Knowledge Graph Embedding

Zhen Chen, Dalin Zhang, Shanshan Feng et al.

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

Vittorio Bilò, Cosimo Vinci

SeeDiff: Off-the-Shelf Seeded Mask Generation from Diffusion Models

Joon Hyun Park, Kumju Jo, Sungyong Baik

Foundation Model Driven Appearance Extraction for Robust Multiple Object Tracking

Teng Fu, Haiyang Yu, Ke Niu et al.

TIKP: Text-to-Image Knowledge Preservation for Continual Semantic Segmentation

Zhidong Yu, Wei Yang, Xike Xie et al.

PerReactor: Offline Personalised Multiple Appropriate Facial Reaction Generation

Hengde Zhu, Xiangyu Kong, Weicheng Xie et al.

Locality Preserving Refinement for Shape Matching with Functional Maps

Yifan Xia, Yifan Lu, Yuan Gao et al.

DiffusionREC: Diffusion Model with Adaptive Condition for Referring Expression Comprehension

Jingcheng Ke, Waikeung Wong, Jia Wang et al.

Novelty vs. Potential Heuristics: A Comparison of Hardness Measures for Satisficing Planning

Simon Dold, Malte Helmert

Enhancing Multi-Scale Diffusion Prediction via Sequential Hypergraphs and Adversarial Learning

Pengfei Jiao, Hongqian Chen, Qing Bao et al.

DifAttack: Query-Efficient Black-Box Adversarial Attack via Disentangled Feature Space

Jun Liu, Jiantao Zhou, Jiandian Zeng et al.

Entropy Regularized Task Representation Learning for Offline Meta-Reinforcement Learning

Mohammadreza Nakhaeinezhadfard, Aidan Scannell, Joni Pajarinen

Towards Automated Chinese Ancient Character Restoration: A Diffusion-Based Method with a New Dataset

Haolong Li, Chenghao Du, Ziheng Jiang et al.

Enhancing Low-Rank Adaptation with Recoverability-Based Reinforcement Pruning for Object Counting

Haojie Guo, Junyu Gao, Yuan Yuan

Successive POI Recommendation via Brain-Inspired Spatiotemporal Aware Representation

Gehua Ma, He Wang, Jingyuan Zhao et al.

Low-Rank Kernel Tensor Learning for Incomplete Multi-View Clustering

Tingting Wu, Songhe Feng, Jiazheng Yuan

Heterogeneous Test-Time Training for Multi-Modal Person Re-identification

Zi Wang, Huaibo Huang, Aihua Zheng et al.

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

Zichen Liu, Hongbo Sun, Yuxin Peng et al.

The Irrelevance of Influencers: Information Diffusion with Re

Activation and Immunity Lasts Exponentially Long on Social Network Models

Learning Structural Causal Models from Ordering: Identifiable Flow Models

Minh Khoa Le, Kien Do, Truyen Tran

Decentralized Convergence to Equilibrium Prices in Trading Networks

Edwin Lock, Benjamin Patrick Evans, Eleonora Kreacic et al.

SDGAN: Disentangling Semantic Manipulation for Facial Attribute Editing

Wenmin Huang, Weiqi Luo, Jiwu Huang et al.

Adaptive Uncertainty-Based Learning for Text-Based Person Retrieval

Shenshen Li, Chen He, Xing Xu et al.

Consistent Query Answering over Existential Rules with Open and Closed Predicates

Lorenzo Marconi, Riccardo Rosati

Decoupled Policy Actor-Critic: Bridging Pessimism and Risk Awareness in Reinforcement Learning

Michal Nauman, Marek Cygan

RWMS: Reliable Weighted Multi-Phase for Semi-supervised Segmentation

Wensi Liu, Xiao-Yu Tang, Chong Yang et al.

You Only Read Once: Constituency-Oriented Relational Graph Convolutional Network for Multi-Aspect Multi-Sentiment Classification

Yongqiang Zheng, Xia Li

MorphVAE: Advancing Morphological Design of Voxel-Based Soft Robots with Variational Autoencoders

Junru Song, Yang Yang, Wei Peng et al.

RA-GAR: A Richly Annotated Benchmark for Gait Attribute Recognition

Chenye Wang, Saihui Hou, Aoqi Li et al.

Optimize & Reduce: A Top-Down Approach for Image Vectorization

Or Hirschorn, Amir Jevnisek, Shai Avidan

Uncommon Belief in Rationality

Qi Shi, Pavel Naumov

SAT-Based Algorithms for Regular Graph Pattern Matching

Miguel Terra-Neves, José Amaral, Alexandre Lemos et al.

MGQFormer: Mask-Guided Query-Based Transformer for Image Manipulation Localization

Kunlun Zeng, Ri Cheng, Weimin Tan et al.

Underspecification in Language Modeling Tasks: A Causality-Informed Study of Gendered Pronoun Resolution

Emily McMilin

Evolving Parameterized Prompt Memory for Continual Learning

Muhammad Rifki Kurniawan, Xiang Song, Zhiheng Ma et al.

Designing Ambiguity Sets for Distributionally Robust Optimization Using Structural Causal Optimal Transport

Ahmad Reza Ehyaei, Golnoosh Farnadi, Samira Samadi

ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting

Ke Sun, Pei Liu, Pengfei Li et al.

Task-Free Continual Generation and Representation Learning via Dynamic Expansionable Memory Cluster

Fei Ye, Adrian Bors

Towards the Robustness of Differentially Private Federated Learning

Tao Qi, Huili Wang, Yongfeng Huang

Fine-Tuning Large Language Model Based Explainable Recommendation with Explainable Quality Reward

Mengyuan Yang, Mengying Zhu, Yan Wang et al.

Maintaining Fairness in Logit-based Knowledge Distillation for Class-Incremental Learning

Zijian Gao, Shanhao Han, Xingxing Zhang et al.

AAKR: Adversarial Attack-based Knowledge Retention for Continual Semantic Segmentation

Zhidong Yu, Xiaoman Liu, Jiajun Hu et al.

Multi-Perspective Consolidation Enhanced Cognitive Diagnosis via Conditional Diffusion Model

Guanhao Zhao, Zhenya Huang, Cheng Cheng et al.

Adversarial Contrastive Graph Masked AutoEncoder Against Graph Structure and Feature Dual Attacks

Weixuan Shen, Xiaobo Shen, Shirui Pan

LAFA: Multimodal Knowledge Graph Completion with Link Aware Fusion and Aggregation

Bin Shang, Yinliang Zhao, Jun Liu et al.

Capability Instruction Tuning

Yi-Kai Zhang, De-Chuan Zhan, Han-Jia Ye

Towards Verifiable Text Generation with Generative Agent

Bin Ji, Huijun Liu, Mingzhe Du et al.

An Embedding-Unleashing Video Polyp Segmentation Framework via Region Linking and Scale Alignment

Zhixue Fang, Xinrong Guo, Jingyin Lin et al.

Enhancing Generalizability in Molecular Conformation Generation with METRIZATION-Informed Geometric Diffusion Pretraining

Xiaozhuang Song, Yuzhao Tu, Hangting Ye et al.

FeatWalk: Enhancing Few-Shot Classification through Local View Leveraging

Dalong Chen, Jianjia Zhang, Wei-shi Zheng et al.

Boosting Few

Shot Learning via Attentive Feature Regularization - Xingyu Zhu, Shuo Wang, Jinda Lu et al.

Balanced Adaptive Subspace Collaboration for Mixed Pareto-Lexicographic Multi-Objective Problems with Priority Levels

Wenjing Hong

Metric-Agnostic Continual Learning for Sustainable Group Fairness

Heng Lian, Chen Zhao, Zhong Chen et al.

Improving Cancer Gene Prediction by Enhancing Common Information Between the PPI Network and Gene Functional Association

Chao Deng, Hongdong Li, Jianxin Wang

GSDD: Generative Space Dataset Distillation for Image Super-resolution

Haiyu Zhang, Shaolin Su, Yu Zhu et al.

Energy-Efficient Streaming Time Series Classification with Attentive Power Iteration

Hao Huang, Tapan Shah, Scott Evans et al.

DR-Label: Label Deconstruction and Reconstruction of GNN Models for Catalysis Systems

Bowen Wang, Chen Liang, Jiaze Wang et al.

Divide and Conquer: Hybrid Pre-training for Person Search

Yanling Tian, Di Chen, Yunan Liu et al.

GBRIP: Granular Ball Representation for Imbalanced Partial Label Learning

Jintao Huang, Yiu-ming Cheung, Chi-man Vong et al.

In-context Prompt-augmented Micro-video Popularity Prediction

Zhangtao Cheng, Jiao Li, Jian Lang et al.

MSR: A Multifaceted Self-Retrieval Framework for Microscopic Cascade Prediction

Dongsheng Hong, Chao Chen, Xujia Li et al.

Counterfactual-Enhanced Information Bottleneck for Aspect-Based Sentiment Analysis

Mingshan Chang, Min Yang, Qingshan Jiang et al.

On the Logic of Theory Base Change: Reformulation of Belief Bases

Eduardo L. Fermé, Andreas Herzig, Maria Vanina Martinez

Parallel Beam Search Algorithms for Domain-Independent Dynamic Programming

Vincent Conitzer, Yueqian Wang, Yuxuan Wang et al.

Deep Unfolded Network with Intrinsic Supervision for Pan-Sharpening

Multilevel Attention Network with Semi-supervised Domain Adaptation for Drug-Target Prediction

ZhouSan Xie, Shikui Tu, Lei Xu

Adaptive Siamese Masked Autoencoder with Global Optimization for Unsupervised Point Cloud Shape Correspondence

Jiacheng Deng, Jiahao Lu

Frozen Language Models Are Gradient Coherence Rectifiers in Vision Transformers

Lichen Bai, Zixuan Xiong, Hai Lin et al.

MID-FiLD: MIDI Dataset for Fine-Level Dynamics

Jesung Ryu, Seungyeon Rhyu, Hong-Gyu Yoon et al.

Exact Algorithms and Lowerbounds for Multiagent Path Finding: Power of Treelike Topology

Foivos Fioravantes, Dušan Knop, Jan Křišťan et al.

Query-efficient Attack for Black-box Image Inpainting Forensics via Reinforcement Learning

Xianbo Mo, Shunquan Tan, Bin Li et al.

MSV-PCT: Multi-Sparse-View Enhanced Transformer Framework for Salient Object Detection in Point Clouds

Zihao Wang, Yiming Huang, Gengyu Lyu et al.

LiD-FL: Towards List-Decodable Federated Learning

Hong Liu, Liren Shan, Han Bao et al.

A Fast Exact Solver with Theoretical Analysis for the Maximum Edge-Weighted Clique Problem

Lu Liu, Mingyu Xiao, Yi Zhou

Approximation Algorithms for Preference Aggregation Using CP-Nets

Abu Mohammad Hammad Ali, Boting Yang, Sandra Zilles

W2P: Switching from Weak Supervision to Partial Supervision for Semantic Segmentation

Fangyuan Zhang, Tianxiang Pan, Junhai Yong et al.

Step Vulnerability Guided Mean Fluctuation Adversarial Attack against Conditional Diffusion Models

Hongwei Yu, Jiansheng Chen, Xinlong Ding et al.

Influential Exemplar Replay for Incremental Learning in Recommender Systems

Xinni Zhang, Yankai Chen, Chenhao Ma et al.

Integrated Decision Gradients: Compute Your Attributions Where the Model Makes Its Decision

Weibo Gao, Qi Liu, Hao Wang et al.

Recurrent Partial Kernel Network for Efficient Optical Flow Estimation

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

Zewen Zheng, Xuemin Zhang, Yongqiang Mou et al.

Uncovering and Mitigating the Hidden Chasm: A Study on the Text-Text Domain Gap in Euphemism Identification

Designing Biological Sequences without Prior Knowledge Using Evolutionary Reinforcement Learning

Xi Zeng, Xiaotian Hao, Hongyao Tang et al.

Unveiling Details in the Dark: Simultaneous Brightening and Zooming for Low-Light Image Enhancement

Ziyu Yue, Jiaxin Gao, Zhixun Su

Improving Diffusion-Based Image Restoration with Error Contraction and Error Correction

Qiqi Bao, Zheng Hui, Rui Zhu et al.

A Transfer Approach Using Graph Neural Networks in Deep Reinforcement Learning

Tianpei Yang, Heng You, Jianye Hao et al.

Improving Deep Learning Speed and Performance Through Synaptic Neural Balance

Antonios Alexos, Ian Domingo, Pierre Baldi

ESPRESSO: An Effective Approach to Passage Retrieval for High-Quality Conversational Recommender Systems

Taeho Kim, Hyeongjun Jang, Juwon Yu et al.

Learning to Manipulate Artistic Images

Wei Guo, Yuqi Zhang, De Ma et al.

Domain-Hallucinated Updating for Multi-Domain Face Anti-spoofing

Chengyang Hu, Ke-Yue Zhang, Taiping Yao et al.

HaCore: Efficient Coreset Construction with Locality Sensitive Hashing for Vertical Federated Learning

Qinbo Zhang, Xiao Yan, Yukai Ding et al.

Learning Reduced Fluid Dynamics

Zherong Pan, Xifeng Gao, Kui Wu

Reducing AUV Energy Consumption Through Dynamic Sensor Directions Switching via Deep Reinforcement Learning

Jiawei Liu, Yuanbo Xu, Shanshan Song et al.

Computationally Hard Problems Are Hard for QBF Proof Systems Too

Agnes Schleitzer, Olaf Beyersdorff

Unsupervised Degradation Representation Aware Transform for Real-World Blind Image Super-Resolution

Sen Chen, Hongying Liu, Chaowei Fang et al.

Ced-NeRF: A Compact and Efficient Method for Dynamic Neural Radiance Fields

Zero-Sum Games between Mean-Field Teams: Reachability-Based Analysis under Mean-Field Sharing

Yue Guan, Mohammad Afshari, Panagiotis Tsiotras

PScalpel: A Machine Learning-based Guider for Protein Phase-Separating Behaviour Alteration

Jia Wang, Liyan Zhu, Zhe Wang et al.

Attacks on Continual Semantic Segmentation by Perturbing Incremental Samples

Zhidong Yu, Wei Yang, Xike Xie et al.

Data Shunt: Collaboration of Small and Large Models for Lower Costs and Better Performance

Dong Chen, Yueting Zhuang, Shuo Zhang et al.

Tail-STEAK: Improve Friend Recommendation for Tail Users via Self-Training Enhanced Knowledge Distillation

Yijun Ma, Chaozhuo Li, Xiao Zhou

Communication Efficient Distributed Newton Method over Unreliable Networks

Ming Wen, Chengchang Liu, Yuedong Xu

Visual Chain-of-Thought Prompting for Knowledge-Based Visual Reasoning

Aerodynamic Coefficients Prediction via Cross-Attention Fusion and Physical-Informed Training

Yueqing Wang, Peng Zhang, Yushuang Liu et al.

Enhancing Neural Radiance Fields with Adaptive Multi-Exposure Fusion: A Bilevel Optimization Approach for Novel View Synthesis

Yang Zou, Xingyuan Li, Zhiying Jiang et al.

Leveraging Asynchronous Spiking Neural Networks for Ultra Efficient Event-Based Visual Processing

DingYi Zeng, Yuchen Wang, Honglin Cao et al.

GraFITi: Graphs for Forecasting Irregularly Sampled Time Series

Vijaya Krishna Yalavarthi, Kiran Madhusudhanan, Randolf Scholz et al.

BGHR: Bridging the Gap Between HBox-Supervised and RBox-Supervised Oriented Object Detection via Adaptive Fine-Grained Sample Mining

Chenlin Fu, Yingying Zhu

Learning Concept Prerequisite Relation via Global Knowledge Relation Optimization

Miao Zhang, Jiawei Wang, Kui Xiao et al.

Learning Generalized Residual Exchange-Correlation-Uncertain Functional for Density Functional Theory

Sizhuo Jin, Shuo Chen, Jianjun Qian et al.

Adversarial Robust Safeguard for Evading Deep Facial Manipulation

Jiazhi Guan, Yi Zhao, Zhuoer Xu et al.

Approximate State Abstraction for Markov Games

Hiroki Ishibashi, Kenshi Abe, Atsushi Iwasaki

ExPERT: Modeling Human Behavior Under External Stimuli Aware Personalized MTPP

Subhendu Khatuya, Ritvik Vij, Paramita Koley et al.

RoPaSS: Robust Watermarking for Partial Screen-Shooting Scenarios

Zehua Ma, Han Fang, Xi Yang et al.

Effects of Momentum in Implicit Bias of Gradient Flow for Diagonal Linear Networks

Bochen Lyu, He Wang, Zheng Wang et al.

Monitoring Primitive Interactions During the Training of DNNs

Jie Ren, Xinhao Zheng, Jiyu Liu et al.

Ambiguous Instance-Aware Contrastive Network with Multi-Level Matching for Multi-View Document Clustering

Zhenqiu Shu, Teng Sun, Yunwei Luo et al.

Uni-MIS: United Multiple Intent Spoken Language Understanding via Multi-View Intent-Slot Interaction

Shangjian Yin, Peijie Huang, Yuhong Xu

Semantic-Guided Novel Category Discovery

Weishuai Wang, Ting Lei, Qingchao Chen et al.

Neuromorphic Event Signal-Driven Network for Video De-raining

Path-Adaptive Matting for Efficient Inference Under Various Computational Cost Constraints

Qinglin Liu, Zonglin Li, Xiaoqian Lv et al.

Dual-Level Curriculum Meta-Learning for Noisy Few-Shot Learning Tasks

Xiaofan Que, Qi Yu

FMRNet: Image Deraining via Frequency Mutual Revision

Kui Jiang, Junjun Jiang, Xianming Liu et al.

SUF: Stabilized Unconstrained Fine-Tuning for Offline-to-Online Reinforcement Learning

Jiaheng Feng, Mingxiao Feng, Haolin Song et al.

Decomposed Quadratization: Efficient QUBO Formulation for Learning Bayesian Network

Yuta Shikuri

EG-NAS: Neural Architecture Search with Fast Evolutionary Exploration

Curvature-Invariant Adversarial Attacks for 3D Point Clouds

Jianping Zhang, Wenwei Gu, Yizhan Huang et al.

Model Counting and Sampling via Semiring Extensions

Andreas Goral, Joachim Giesen, Mark Blacher et al.

HAGO-Net: Hierarchical Geometric Massage Passing for Molecular Representation Learning

Hongbin Pei, Taile Chen, Chen A et al.

2243 ADA-GAD: Anomaly-Denoised Autoencoders for Graph Anomaly Detection

Junwei He, Qianqian Xu, Yangbangyan Jiang et al.

DiCA: Disambiguated Contrastive Alignment for Cross-Modal Retrieval with Partial Labels

Chao Su, Huiming Zheng, Dezhong Peng et al.

BERT-Based Code Learning for Exception Localization and Type Prediction

Chongyu Zhang, Qiping Tao, Liangyu Chen et al.

A Unified Degradation-Robust Approach to SSL and UDA for 3D Medical Images

Suruchi Kumari, Pravendra Singh

Automated Defect Report Generation for Enhanced Industrial Quality Control

Jiayuan Xie, Zhiping Zhou, Zihan Wu et al.

Sampling-Resilient Multi-Object Tracking

Zepeng Li, Dongxiang Zhang, Sai Wu et al.

KPA-Tracker: Towards Robust and Real-Time Category-Level Articulated Object 6D Pose Tracking

Liu Liu, Anran Huang, Qi Wu et al.

Bounded Rationality Equilibrium Learning in Mean Field Games

Yannick Eich, Christian Fabian, Kai Cui et al.

Efficient Graph Bandit Learning with Side-Observations and Switching Constraints

Xueping Gong, Jiheng Zhang

Fully Data-Driven Pseudo Label Estimation for Pointly-Supervised Panoptic Segmentation

Jing Li, Junsong Fan, Yuran Yang et al.