Most Cited 2024 "image patch modeling" Papers

Event-based Head Pose Estimation: Benchmark and Method

jiahui yuan, Hebei Li, Yansong Peng et al.

What If the TV Was Off? Examining Counterfactual Reasoning Abilities of Multi-modal Language Models

Letian Zhang, Xiaotong Zhai, Zhongkai Zhao et al.

Clarifying the Behavior and the Difficulty of Adversarial Training

Xu Cheng, Hao Zhang, Yue Xin et al.

Modeling Language Tokens as Functionals of Semantic Fields

Zhengqi Pei, Anran Zhang, Shuhui Wang et al.

AdaIFL: Adaptive Image Forgery Localization via a Dynamic and Importance-aware Transformer Network

Yuxi Li, Fuyuan Cheng, Wangbo Yu et al.

Activation-Descent Regularization for Input Optimization of ReLU Networks

Hongzhan Yu, Sicun Gao

Delegation-Relegation for Boolean Matrix Factorization

Florent Avellaneda, Roger Villemaire

Learning Latent Structures in Network Games via Data-Dependent Gated-Prior Graph Variational Autoencoders

XUE YU, Muchen Li, Yan Leng et al.

Enabling Few-Shot Learning with PID Control: A Layer Adaptive Optimizer

Le Yu, Xinde Li, Pengfei Zhang et al.

Learning with Structural Labels for Learning with Noisy Labels

Noo-ri Kim, Jin-Seop Lee, Jee-Hyong Lee

Learning Polynomial Problems with $SL(2, \mathbb{R})$-Equivariance

Hannah Lawrence, Mitchell Harris

DOCTR: Disentangled Object-Centric Transformer for Point Scene Understanding

Xiaoxuan Yu, Hao Wang, Weiming Li et al.

Inference and Learning in Dynamic Decision Networks Using Knowledge Compilation

Gabriele Venturato, Vincent Derkinderen, Pedro Zuidberg Dos Martires et al.

Phase Concentration and Shortcut Suppression for Weakly Supervised Semantic Segmentation

Hoyong Kwon, Jaeseok Jeong, Sung-Hoon Yoon et al.

Learning Small Decision Trees for Data of Low Rank-Width

Konrad K. Dabrowski, Eduard Eiben, Sebastian Ordyniak et al.

Improving Sharpness-Aware Minimization by Lookahead

Runsheng Yu, Youzhi Zhang, James Kwok

SHINE: Shielding Backdoors in Deep Reinforcement Learning

Zhuowen Yuan, Wenbo Guo, Jinyuan Jia et al.

Causality-Inspired Invariant Representation Learning for Text-Based Person Retrieval

Yu Liu, Guihe Qin, Haipeng Chen et al.

Syn-to-Real Domain Adaptation for Point Cloud Completion via Part-based Approach

Yunseo Yang, Jihun Kim, Kuk-Jin Yoon

Discovering Sequential Patterns with Predictable Inter-event Delays

Joscha Cüppers, Paul Krieger, Jilles Vreeken

Object-Aware NIR-to-Visible Translation

Yunyi Gao, Lin Gu, Qiankun Liu et al.

Learning to Explore in POMDPs with Informational Rewards

Annie Xie, Logan M. Bhamidipaty, Evan Liu et al.

NegVSR: Augmenting Negatives for Generalized Noise Modeling in Real-world Video Resolution

Yexing Song, Meilin Wang, Zhijing Yang et al.

Submodel Enumeration for CTL Is Hard

Nicolas Fröhlich, Arne Meier

Graph Mixup on Approximate Gromov–Wasserstein Geodesics

Zhichen Zeng, Ruizhong Qiu, Zhe Xu et al.

MoML: Online Meta Adaptation for 3D Human Motion Prediction

Xiaoning Sun, Huaijiang Sun, Bin Li et al.

Differentiable Annealed Importance Sampling Minimizes The Jensen-Shannon Divergence Between Initial and Target Distribution

Johannes Zenn, Robert Bamler

Piecewise Linear Parametrization of Policies: Towards Interpretable Deep Reinforcement Learning

Maxime Wabartha, Joelle Pineau

Tight Partial Identification of Causal Effects with Marginal Distribution of Unmeasured Confounders

Zhiheng Zhang

DAG-Based Column Generation for Adversarial Team Games

Youzhi Zhang, Bo An, Daniel Zeng

MKG-FENN: A Multimodal Knowledge Graph Fused End-to-End Neural Network for Accurate Drug–Drug Interaction Prediction

Di Wu, Wu Sun, Yi He et al.

Learning model uncertainty as variance-minimizing instance weights

Nishant Jain, Karthikeyan Shanmugam, Pradeep Shenoy

Provably Efficient Partially Observable Risk-sensitive Reinforcement Learning with Hindsight Observation

Tonghe Zhang, Yu Chen, Longbo Huang

Adaptive Reactive Synthesis for LTL and LTLf Modulo Theories

Andoni Rodríguez, César Sánchez

StereoGlue: Joint Feature Matching and Robust Estimation

Daniel Barath, Dmytro Mishkin, Luca Cavalli et al.

LaViP: Language-Grounded Visual Prompting

Nilakshan Kunananthaseelan, Jing Zhang, Mehrtash Harandi

Hypothesis, Verification, and Induction: Grounding Large Language Models with Self-Driven Skill Learning

Shaohui Peng, Xing Hu, Qi Yi et al.

CaM: Cache Merging for Memory-efficient LLMs Inference

Yuxin Zhang, Yuxuan Du, Gen Luo et al.

Watermarks in the Sand: Impossibility of Strong Watermarking for Language Models

Hanlin Zhang, Benjamin Edelman, Danilo Francati et al.

MILP-FBGen: LP/MILP Instance Generation with Feasibility/Boundedness

Yahong Zhang, Chenchen Fan, Donghui Chen et al.

Efficient Continual Finite-Sum Minimization

Ioannis Mavrothalassitis, Stratis Skoulakis, Leello Dadi et al.

Adaptive Graph Learning for Multimodal Conversational Emotion Detection

Geng Tu, Tian Xie, Bin Liang et al.

NondBREM: Nondeterministic Offline Reinforcement Learning for Large-Scale Order Dispatching

Hongbo Zhang, Guang Wang, Xu Wang et al.

p-Laplacian Adaptation for Generative Pre-trained Vision-Language Models

Haoyuan Wu, Xinyun Zhang, Peng Xu et al.

Parameter-Efficient Fine-Tuning with Controls

Chi Zhang, Jingpu Cheng, Yanyu Xu et al.

Leveraging Local Variance for Pseudo-Label Selection in Semi-supervised Learning

Zeping Min, Jinfeng Bai, Chengfei Li

KW-Design: Pushing the Limit of Protein Design via Knowledge Refinement

Zhangyang Gao, Cheng Tan, Xingran Chen et al.

Hierarchize Pareto Dominance in Multi-Objective Stochastic Linear Bandits

Ji Cheng, Bo Xue, Jiaxiang Yi et al.

On the Outcome Equivalence of Extensive-Form and Behavioral Correlated Equilibria

Brian Zhang, Tuomas Sandholm

More is Better: when Infinite Overparameterization is Optimal and Overfitting is Obligatory

James Simon, Dhruva Karkada, Nikhil Ghosh et al.

Bootstrapping Variational Information Pursuit with Large Language and Vision Models for Interpretable Image Classification

Aditya Chattopadhyay, Kwan Ho Ryan Chan, Rene Vidal

Multi-Factor Adaptive Vision Selection for Egocentric Video Question Answering

Haoyu Zhang, Meng Liu, Zixin Liu et al.

UP2ME: Univariate Pre-training to Multivariate Fine-tuning as a General-purpose Framework for Multivariate Time Series Analysis

Yunhao Zhang, Liu Minghao, Shengyang Zhou et al.

Unifying Decision and Function Queries in Stochastic Boolean Satisfiability

Yu-Wei Fan, Jie-Hong Jiang

Orbit-Equivariant Graph Neural Networks

Matthew Morris, Bernardo Grau, Ian Horrocks

Optimal transport based adversarial patch to leverage large scale attack transferability

Pol Labarbarie, Adrien CHAN-HON-TONG, Stéphane Herbin et al.

Simple Minimax Optimal Byzantine Robust Algorithm for Nonconvex Objectives with Uniform Gradient Heterogeneity

Tomoya Murata, Kenta Niwa, Takumi Fukami et al.

Sparse-to-dense Multimodal Image Registration via Multi-Task Learning

Kaining Zhang, Jiayi Ma

Enhancing Training of Spiking Neural Network with Stochastic Latency

Srinivas Anumasa, Bhaskar Mukhoty, Velibor Bojkovic et al.

A Federated Stochastic Multi-level Compositional Minimax Algorithm for Deep AUC Maximization

Xinwen Zhang, Ali Payani, Myungjin Lee et al.

Vision Transformers as Probabilistic Expansion from Learngene

Qiufeng Wang, Xu Yang, Haokun Chen et al.

Enhancing Storage and Computational Efficiency in Federated Multimodal Learning for Large-Scale Models

Zixin Zhang, Fan Qi, Changsheng Xu

Online Resource Allocation with Non-Stationary Customers

Xiaoyue Zhang, Hanzhang Qin, Mabel Chou

Learned Trajectory Embedding for Subspace Clustering

Yaroslava Lochman, Christopher Zach, Carl Olsson

Weakly Supervised Video Individual Counting

Xinyan Liu, Guorong Li, Yuankai Qi et al.

Online Matching with Stochastic Rewards: Provable Better Bound via Adversarial Reinforcement Learning

Qiankun Zhang, Aocheng Shen, Boyu Zhang et al.

SeqRank: Sequential Ranking of Salient Objects

Switchable Decision: Dynamic Neural Generation Networks

Shujian Zhang, Korawat Tanwisuth, Chengyue Gong et al.

Bilateral Gradual Semantics for Weighted Argumentation

GroupCover: A Secure, Efficient and Scalable Inference Framework for On-device Model Protection based on TEEs

Zheng Zhang, Na Wang, Ziqi Zhang et al.

Align before Collaborate: Mitigating Feature Misalignment for Robust Multi-Agent Perception

Dingkang Yang, Ke Li, Dongling Xiao et al.

New Insight of Variance reduce in Zero-Order Hard-Thresholding: Mitigating Gradient Error and Expansivity Contradictions

Xinzhe Yuan, William de Vazelhes, Bin Gu et al.

Video Decomposition Prior: Editing Videos Layer by Layer

Gaurav Shrivastava, Ser-Nam Lim, Abhinav Shrivastava

What Makes Quantization for Large Language Model Hard? An Empirical Study from the Lens of Perturbation

Huankang Guan, Rynson W.H. Lau

Rethinking Guidance Information to Utilize Unlabeled Samples: A Label Encoding Perspective

Yulong Zhang, Yuan Yao, Shuhao Chen et al.

Uncertainty-Aware Yield Prediction with Multimodal Molecular Features

Jiayuan Chen, Kehan Guo, Zhen Liu et al.

Post-training Quantization with Progressive Calibration and Activation Relaxing for Text-to-Image Diffusion Models

Siao Tang, Xin Wang, Hong Chen et al.

Beyond the ROC Curve: Classification Trees Using Cost-Optimal Curves, with Application to Imbalanced Datasets

Magzhan Gabidolla, Arman Zharmagambetov, Miguel Carreira-Perpinan

Distributionally Robust Data Valuation

Xiaoqiang Lin, Xinyi Xu, Zhaoxuan Wu et al.

Preference Aware Dual Contrastive Learning for Item Cold-Start Recommendation

Wenbo Wang, Bingquan Liu, Lili Shan et al.

Learning Performance Maximizing Ensembles with Explainability Guarantees

Vincent Pisztora, Jia Li

Efficient Denoising Diffusion via Probabilistic Masking

Weizhong Zhang, Zhiwei Zhang, Renjie Pi et al.

L2P-MIP: Learning to Presolve for Mixed Integer Programming

Chang Liu, Zhichen Dong, Haobo Ma et al.

Communication Efficient Distributed Newton Method over Unreliable Networks

Ming Wen, Chengchang Liu, Yuedong Xu

Continual Vision-Language Retrieval via Dynamic Knowledge Rectification

Zhenyu Cui, Yuxin Peng, Xun Wang et al.

DATS: Difficulty-Aware Task Sampler for Meta-Learning Physics-Informed Neural Networks

Maryam Toloubidokhti, Yubo Ye, Ryan Missel et al.

Neural Jump-Diffusion Temporal Point Processes

Shuai Zhang, Chuan Zhou, Yang Liu et al.

MuST: Robust Image Watermarking for Multi-Source Tracing

Guanjie Wang, Zehua Ma, Chang Liu et al.

Accelerating Iterative Retrieval-augmented Language Model Serving with Speculation

Zhihao Zhang, Alan Zhu, Lijie Yang et al.

Hierarchical Planning and Learning for Robots in Stochastic Settings Using Zero-Shot Option Invention

Naman Shah, Siddharth Srivastava

Optimizing the Optimization of Planning Domains by Automatic Action Schema Splitting

Mojtaba Elahi, Jussi Rintanen

Absolute Policy Optimization: Enhancing Lower Probability Bound of Performance with High Confidence

Weiye Zhao, Feihan Li, Yifan Sun et al.

Unveiling Privacy Risks in Stochastic Neural Networks Training: Effective Image Reconstruction from Gradients

Yiming Chen, Xiangyu Yang, Nikos Deligiannis

Rethinking Adversarial Robustness in the Context of the Right to be Forgotten

Chenxu Zhao, Wei Qian, Yangyi Li et al.

SPDER: Semiperiodic Damping-Enabled Object Representation

Kathan Shah, Chawin Sitawarin

Frequency-Aware Deepfake Detection: Improving Generalizability through Frequency Domain Learning

Chuangchuang Tan, Yao Zhao, Shikui Wei et al.

Hypergraph Dynamic System

Jielong Yan, Yifan Feng, Shihui Ying et al.

Unsupervised Representation Learning of Brain Activity via Bridging Voxel Activity and Functional Connectivity

Ali Behrouz, Parsa Delavari, Farnoosh Hashemi

Double-Step Alternating Extragradient with Increasing Timescale Separation for Finding Local Minimax Points: Provable Improvements

Kyuwon Kim, Donghwan Kim

PMRC: Prompt-Based Machine Reading Comprehension for Few-Shot Named Entity Recognition

Jin Huang, Danfeng Yan, Yuanqiang Cai

Bayesian Self-Training for Semi-Supervised 3D Segmentation

Ozan Unal, Christos Sakaridis, Luc Van Gool

Contextual Augmented Global Contrast for Multimodal Intent Recognition

Kaili Sun, Zhiwen Xie, Mang Ye et al.

Exploiting Negative Samples: A Catalyst for Cohort Discovery in Healthcare Analytics

Kaiping Zheng, Horng-Ruey Chua, Melanie Herschel et al.

How do Transformers Perform In-Context Autoregressive Learning ?

Michael Sander, Raja Giryes, Taiji Suzuki et al.

A Data-Driven Measure of Relative Uncertainty for Misclassification Detection

Eduardo Dadalto Câmara Gomes, Marco Romanelli, Georg Pichler et al.

Towards Reliable and Efficient Backdoor Trigger Inversion via Decoupling Benign Features

Xiong Xu, Kunzhe Huang, Yiming Li et al.

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

Jing Li, Junsong Fan, Yuran Yang et al.

A Pedestrian is Worth One Prompt: Towards Language Guidance Person Re-Identification

Zexian Yang, Dayan Wu, Chenming Wu et al.

DMiT: Deformable Mipmapped Tri-Plane Representation for Dynamic Scenes

Jing-Wen Yang, Jia-Mu Sun, Yong-Liang Yang et al.

The Expressive Power of Transformers with Chain of Thought

William Merrill, Ashish Sabharwal

ERQ: Error Reduction for Post-Training Quantization of Vision Transformers

Yunshan Zhong, Jiawei Hu, You Huang et al.

Analysis-by-Synthesis Transformer for Single-View 3D Reconstruction

Dian Jia, Xiaoqian Ruan, Kun Xia et al.

GNNs Also Deserve Editing, and They Need It More Than Once

Shaochen (Henry) Zhong, Duy Le, Zirui Liu et al.

Causal-IQA: Towards the Generalization of Image Quality Assessment Based on Causal Inference

Yan Zhong, Xingyu Wu, Li Zhang et al.

On the Emergence of Cross-Task Linearity in Pretraining-Finetuning Paradigm

Zhanpeng Zhou, Zijun Chen, Yilan Chen et al.

From Toxic to Trustworthy: Using Self-Distillation and Semi-supervised Methods to Refine Neural Networks

Xianda Zhang, Baolin Zheng, Jianbao Hu et al.

Text-conditional Attribute Alignment across Latent Spaces for 3D Controllable Face Image Synthesis

FeiFan Xu, Rui Li, Si Wu et al.

MINES: Message Intercommunication for Inductive Relation Reasoning over Neighbor-Enhanced Subgraphs

Ke Liang, Lingyuan Meng, Sihang Zhou et al.

Sequential Kernel Goodness-of-fit Testing

Zhengyu Zhou, Weiwei Liu

Separate and Diffuse: Using a Pretrained Diffusion Model for Better Source Separation

Shahar Lutati, Eliya Nachmani, Lior Wolf

CurBench: Curriculum Learning Benchmark

Yuwei Zhou, Zirui Pan, Xin Wang et al.

Evolving Parameterized Prompt Memory for Continual Learning

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

ACAMDA: Improving Data Efficiency in Reinforcement Learning through Guided Counterfactual Data Augmentation

Yuewen Sun, Erli Wang, Biwei Huang et al.

GMT: Enhancing Generalizable Neural Rendering via Geometry-Driven Multi-Reference Texture Transfer

Youngho Yoon, Hyun-Kurl Jang, Kuk-Jin Yoon

Hierarchical Histogram Threshold Segmentation – Auto-terminating High-detail Oversegmentation

Thomas Chang, Simon Seibt, Bartosz von Rymon Lipinski

Towards Safe Policy Learning under Partial Identifiability: A Causal Approach

Shalmali Joshi, Junzhe Zhang, Elias Bareinboim

Hierarchical Unsupervised Relation Distillation for Source Free Domain Adaptation

Bowei Xing, Xianghua Ying, Ruibin Wang et al.

Aligning Relational Learning with Lipschitz Fairness

Yaning Jia, Chunhui Zhang, Soroush Vosoughi

Iterative Search Attribution for Deep Neural Networks

Zhiyu Zhu, Huaming Chen, Xinyi Wang et al.

VQ-TR: Vector Quantized Attention for Time Series Forecasting

Kashif Rasul, Andrew Bennett, Pablo Vicente et al.

Computing the Why-Provenance for Datalog Queries via SAT Solvers

Haitong Luo, Xuying Meng, Suhang Wang et al.

FairTrade: Achieving Pareto-Optimal Trade-Offs between Balanced Accuracy and Fairness in Federated Learning

Maryam Badar, Sandipan Sikdar, Wolfgang Nejdl et al.

Towards Multi-Mode Outlier Robust Tensor Ring Decomposition

Yuning Qiu, Guoxu Zhou, Andong Wang et al.

A Brain-Inspired Way of Reducing the Network Complexity via Concept-Regularized Coding for Emotion Recognition

Han Lu, Xiahai Zhuang, Qiang Luo

Antibody Design Using a Score-based Diffusion Model Guided by Evolutionary, Physical and Geometric Constraints

Tian Zhu, Milong Ren, Haicang Zhang

Positive-Unlabeled Learning by Latent Group-Aware Meta Disambiguation

Lin Long, Haobo Wang, Zhijie Jiang et al.

NB-GTR: Narrow-Band Guided Turbulence Removal

Yifei Xia, Chu Zhou, Chengxuan Zhu et al.

Animatable Gaussians: Learning Pose-dependent Gaussian Maps for High-fidelity Human Avatar Modeling

Zhe Li, Zerong Zheng, Lizhen Wang et al.

Mitigating Emergent Robustness Degradation while Scaling Graph Learning

Xiangchi Yuan, Chunhui Zhang, Yijun Tian et al.

Learning Adaptive Spatial Coherent Correlations for Speech-Preserving Facial Expression Manipulation

Tianshui Chen, Jianman Lin, Zhijing Yang et al.

A Flexible Generative Model for Heterogeneous Tabular EHR with Missing Modality

Huan He, Yijie Hao, Yuanzhe Xi et al.

Cumulative Difference Learning VAE for Time-Series with Temporally Correlated Inflow-Outflow

Tianchun Li, Chengxiang Wu, Pengyi Shi et al.

Towards Efficient Spiking Transformer: a Token Sparsification Framework for Training and Inference Acceleration

Zhengyang Zhuge, Peisong Wang, Xingting Yao et al.

Frame Semantic Role Labeling Using Arbitrary-Order Conditional Random Fields

Viewing Transformers Through the Lens of Long Convolutions Layers

Itamar Zimerman, Lior Wolf

Spatio-Temporal Pivotal Graph Neural Networks for Traffic Flow Forecasting

Xiangyang Miao, Guobao Xiao, Shiping Wang et al.

The Sky's the Limit: Relightable Outdoor Scenes via a Sky-pixel Constrained Illumination Prior and Outside-In Visibility

James Gardner, Evgenii Kashin, Bernhard Egger et al.

BiE: Bi-Exponent Block Floating-Point for Large Language Models Quantization

Lancheng Zou, Wenqian Zhao, Shuo Yin et al.

Improving Equivariant Graph Neural Networks on Large Geometric Graphs via Virtual Nodes Learning

Yuelin Zhang, Jiacheng Cen, Jiaqi Han et al.

HiEI: A Universal Framework for Generating High-quality Emerging Images from Natural Images

Jingmeng Li, Lukang Fu, Surun Yang et al.

Amend to Alignment: Decoupled Prompt Tuning for Mitigating Spurious Correlation in Vision-Language Models

Jie ZHANG, Xiaosong Ma, Song Guo et al.

Spectral Subsurface Scattering for Material Classification

Haejoon Lee, Aswin C. Sankaranarayanan

Chain-of-Experts: When LLMs Meet Complex Operations Research Problems

Ziyang Xiao, Dongxiang Zhang, Yangjun Wu et al.

Position: Is machine learning good or bad for the natural sciences?

David W. Hogg, Soledad Villar

Multi-class Probabilistic Bounds for Majority Vote Classifiers with Partially Labeled Data

Vasilii Feofanov, Emilie Devijver, Massih-Reza Amini

An Efficient Subgraph-Inferring Framework for Large-Scale Heterogeneous Graphs

Wei Zhou, Hong Huang, Ruize Shi et al.

A ROBUST DIFFERENTIAL NEURAL ODE OPTIMIZER

Panagiotis Theodoropoulos, Guan-Horng Liu, Tianrong Chen et al.

Rectangle Search: An Anytime Beam Search

Sofia Lemons, Wheeler Ruml, Rob Holte et al.

Out-of-Distribution Detection with Negative Prompts

Jun Nie, Yonggang Zhang, Zhen Fang et al.

Exploring Domain Incremental Video Highlights Detection with the LiveFood Benchmark

Sen Pei, Shixiong Xu, Xiaojie Jin

Scaling Beyond the GPU Memory Limit for Large Mixture-of-Experts Model Training

Yechan Kim, Hwijoon Lim, Dongsu Han

Fewer Steps, Better Performance: Efficient Cross-Modal Clip Trimming for Video Moment Retrieval Using Language

Xiang Fang, Daizong Liu, Wanlong Fang et al.

What does automatic differentiation compute for neural networks?

Sejun Park, Sanghyuk Chun, Wonyeol Lee

Label-free Neural Semantic Image Synthesis

Jiayi Wang, Kevin Alexander Laube, Yumeng Li et al.

AlpaGasus: Training a Better Alpaca with Fewer Data

Lichang Chen, Shiyang Li, Jun Yan et al.

SkipDiff: Adaptive Skip Diffusion Model for High-Fidelity Perceptual Image Super-resolution

Xiaotong Luo, Yuan Xie, Yanyun Qu et al.

Deep Generative Clustering with Multimodal Diffusion Variational Autoencoders

Emanuele Palumbo, Laura Manduchi, Sonia Laguna et al.

Differentially Private Sum-Product Networks

Xenia Heilmann, Mattia Cerrato, Ernst Althaus

ShareBERT: Embeddings Are Capable of Learning Hidden Layers

Jia Cheng Hu, Roberto Cavicchioli, Giulia Berardinelli et al.

Spatio-Temporal Fusion for Human Action Recognition via Joint Trajectory Graph

Yaolin Zheng, Hongbo Huang, Xiuying Wang et al.

Improved Differentially Private and Lazy Online Convex Optimization: Lower Regret without Smoothness Requirements

Naman Agarwal, Satyen Kale, Karan Singh et al.

Modulated Phase Diffusor: Content-Oriented Feature Synthesis for Detecting Unknown Objects

Aming Wu, Cheng Deng

Spatio-Temporal Approximation: A Training-Free SNN Conversion for Transformers

Yizhou Jiang, Kunlin Hu, Tianren Zhang et al.

Sparse Enhanced Network: An Adversarial Generation Method for Robust Augmentation in Sequential Recommendation

Junyang Chen, Guoxuan Zou, Pan Zhou et al.

Idling Neurons, Appropriately Lenient Workload During Fine-tuning Leads to Better Generalization

Hongjing Niu, Hanting Li, Bin Li et al.

SignGen: End-to-End Sign Language Video Generation with Latent Diffusion

Fan Qi, Yu Duan, Changsheng Xu et al.

Sharpness-Aware Model-Agnostic Long-Tailed Domain Generalization

Houcheng Su, Weihao Luo, Daixian Liu et al.

StegaStyleGAN: Towards Generic and Practical Generative Image Steganography

Wenkang Su, Jiangqun Ni, Yiyan Sun

Simple Weak Coresets for Non-decomposable Classification Measures

Jayesh Malaviya, Anirban Dasgupta, Rachit Chhaya

Learning Multi-Scale Video-Text Correspondence for Weakly Supervised Temporal Article Gronding

Wenjia Geng, Yong Liu, Lei Chen et al.

BarLeRIa: An Efficient Tuning Framework for Referring Image Segmentation

Yaoming Wang, Li Jin, XIAOPENG ZHANG et al.

A Surprisingly Simple Continuous-Action POMDP Solver: Lazy Cross-Entropy Search over Policy Trees

Marcus Hoerger, Hanna Kurniawati, Dirk Kroese et al.

Disentangled Continual Graph Neural Architecture Search with Invariant Modular Supernet

Zeyang Zhang, Xin Wang, Yijian Qin et al.

Disentangled Graph Self-supervised Learning for Out-of-Distribution Generalization

Haoyang Li, Xin Wang, Zeyang Zhang et al.

Knowledge-aware Reinforced Language Models for Protein Directed Evolution

Yuhao Wang, Qiang Zhang, Ming Qin et al.

Explainable Origin-Destination Crowd Flow Interpolation via Variational Multi-Modal Recurrent Graph Auto-Encoder

Qiang Zhou, Xinjiang Lu, Jingjing Gu et al.

Low Category Uncertainty and High Training Potential Instance Learning for Unsupervised Domain Adaptation

Xinyu Zhang, Meng Kang, Shuai Lü

Efficient Learning of PDEs via Taylor Expansion and Sparse Decomposition into Value and Fourier Domains

Md Nasim, Yexiang Xue

DNCs Require More Planning Steps

Yara Shamshoum, Nitzan Hodos, Yuval Sieradzki et al.

I/O Complexity of Attention, or How Optimal is FlashAttention?

Barna Saha, Christopher Ye

Position: Data Authenticity, Consent, & Provenance for AI are all broken: what will it take to fix them?

Shayne Longpre, Robert Mahari, Naana Obeng-Marnu et al.

Discrepancy and Uncertainty Aware Denoising Knowledge Distillation for Zero-Shot Cross-Lingual Named Entity Recognition

Ling Ge, Chunming Hu, Guanghui Ma et al.

Realistic Evaluation of Semi-supervised Learning Algorithms in Open Environments

Lin-Han Jia, Lan-Zhe Guo, Zhi Zhou et al.

Foundations of Reactive Synthesis for Declarative Process Specifications

Andrey Rivkin, Luca Geatti, Marco Montali

A Theoretical Analysis of Backdoor Poisoning Attacks in Convolutional Neural Networks

Boqi Li, Weiwei Liu

Resource Efficient Deep Learning Hardware Watermarks with Signature Alignment

Joseph Clements, Yingjie Lao

Not All Classes Stand on Same Embeddings: Calibrating a Semantic Distance with Metric Tensor

Jae Hyeon Park, Gyoomin Lee, Seunggi Park et al.

IOFM: Using the Interpolation Technique on the Over-Fitted Models to Identify Clean-Annotated Samples

Dongha Kim, Yongchan Choi, Kunwoong Kim et al.

Improving Distinguishability of Class for Graph Neural Networks

Dongxiao He, Shuwei Liu, Zhizhi Yu et al.

Rethinking the symmetry-preserving circuits for constrained variational quantum algorithms

Ge Yan, Hongxu Chen, Kaisen Pan et al.