Most Cited 2024 "tanh activation function" Papers

Diverse Projection Ensembles for Distributional Reinforcement Learning

Moritz Akiya Zanger, Wendelin Boehmer, Matthijs T. J. Spaan

Positive Concave Deep Equilibrium Models

Mateusz Gabor, Tomasz Piotrowski, Renato L. G. Cavalcante

Constrained Layout Generation with Factor Graphs

Mohammed Haroon Dupty, Yanfei Dong, Sicong Leng et al.

MeshVPR: Citywide Visual Place Recognition Using 3D Meshes

Gabriele Berton, Lorenz Junglas, Riccardo Zaccone et al.

Collaborative Weakly Supervised Video Correlation Learning for Procedure-Aware Instructional Video Analysis

Tianyao He, Huabin Liu, Yuxi Li et al.

Dynamic Neural Radiance Field From Defocused Monocular Video

Xianrui Luo, Huiqiang Sun, Juewen Peng et al.

Improving Domain Generalization in Self-Supervised Monocular Depth Estimation via Stabilized Adversarial Training

Yuanqi Yao, Gang Wu, Kui Jiang et al.

Fisher Calibration for Backdoor-Robust Heterogeneous Federated Learning

Wenke Huang, Mang Ye, zekun shi et al.

DAG-Aware Variational Autoencoder for Social Propagation Graph Generation

Dongpeng Hou, Chao Gao, Xuelong Li et al.

CAMBranch: Contrastive Learning with Augmented MILPs for Branching

Jiacheng Lin, Meng XU, Zhihua Xiong et al.

GRATH: Gradual Self-Truthifying for Large Language Models

Weixin Chen, Dawn Song, Bo Li

Improving Distant 3D Object Detection Using 2D Box Supervision

Zetong Yang, Zhiding Yu, Christopher Choy et al.

Click Prompt Learning with Optimal Transport for Interactive Segmentation

Jie Liu, haochen wang, Wenzhe Yin et al.

A Recipe for Improved Certifiable Robustness

Kai Hu, Klas Leino, Zifan Wang et al.

FedNS: A Fast Sketching Newton-Type Algorithm for Federated Learning

Jian Li, Yong Liu, Wei Wang et al.

Toward Availability Attacks in 3D Point Clouds

Yifan Zhu, Yibo Miao, Yinpeng Dong et al.

A Framework for Efficient Model Evaluation through Stratification, Sampling, and Estimation

Riccardo Fogliato, Pratik Patil, Mathew Monfort et al.

Convex Relaxations of ReLU Neural Networks Approximate Global Optima in Polynomial Time

Sungyoon Kim, Mert Pilanci

Interpreting Robustness Proofs of Deep Neural Networks

Debangshu Banerjee, Avaljot Singh, Gagandeep Singh

Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning

Yantian Zha, Lin Guan, Subbarao Kambhampati

Affective Visual Dialog: A Large-Scale Benchmark for Emotional Reasoning Based on Visually Grounded Conversations

KILICHBEK HAYDAROV, Xiaoqian Shen, Avinash Madasu et al.

Semantic Flow: Learning Semantic Fields of Dynamic Scenes from Monocular Videos

Fengrui Tian, Yueqi Duan, Angtian Wang et al.

Offline Inverse RL: New Solution Concepts and Provably Efficient Algorithms

Filippo Lazzati, Mirco Mutti, Alberto Maria Metelli

When Visual Grounding Meets Gigapixel-level Large-scale Scenes: Benchmark and Approach

TAO MA, Bing Bai, Haozhe Lin et al.

Self-Supervised Audio-Visual Soundscape Stylization

Tingle Li, Renhao Wang, Po-Yao Huang et al.

Spherical World-Locking for Audio-Visual Localization in Egocentric Videos

Heeseung Yun, Ruohan Gao, Ishwarya Ananthabhotla et al.

BodyMAP - Jointly Predicting Body Mesh and 3D Applied Pressure Map for People in Bed

Abhishek Tandon, Anujraaj Goyal, Henry M. Clever et al.

Don't Look into the Dark: Latent Codes for Pluralistic Image Inpainting

Haiwei Chen, Yajie Zhao

Spectral and Polarization Vision: Spectro-polarimetric Real-world Dataset

Yujin Jeon, Eunsue Choi, Youngchan Kim et al.

FipTR: A Simple yet Effective Transformer Framework for Future Instance Prediction in Autonomous Driving

Xingtai Gui, Tengteng Huang, Haonan Shao et al.

Spear and Shield: Adversarial Attacks and Defense Methods for Model-Based Link Prediction on Continuous-Time Dynamic Graphs

Dongjin Lee, Juho Lee, Kijung Shin

DiffAgent: Fast and Accurate Text-to-Image API Selection with Large Language Model

Lirui Zhao, Yue Yang, Kaipeng Zhang et al.

LRS: Enhancing Adversarial Transferability through Lipschitz Regularized Surrogate

Tao Wu, Tie Luo, D. C. Wunsch

EA-VTR: Event-Aware Video-Text Retrieval

Zongyang Ma, Ziqi Zhang, Yuxin Chen et al.

Understanding Physical Dynamics with Counterfactual World Modeling

Rahul Mysore Venkatesh, Honglin Chen, Kevin Feigelis et al.

Topic-VQ-VAE: Leveraging Latent Codebooks for Flexible Topic-Guided Document Generation

YoungJoon Yoo, Jongwon Choi

PoetryDiffusion: Towards Joint Semantic and Metrical Manipulation in Poetry Generation

FocSAM: Delving Deeply into Focused Objects in Segmenting Anything

You Huang, Zongyu Lan, Liujuan Cao et al.

EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs

Haohui Wang, Yuzhen Mao, Yujun Yan et al.

From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Spurious Correlations in Image Recognition

Maan Qraitem, Kate Saenko, Bryan Plummer

Recovering Labels from Local Updates in Federated Learning

Huancheng Chen, Haris Vikalo

Monocular Identity-Conditioned Facial Reflectance Reconstruction

Xingyu Ren, Jiankang Deng, Yuhao Cheng et al.

A Theory of Non-acyclic Generative Flow Networks

Leo Brunswic, Yinchuan Li, Yushun Xu et al.

Mitigating Object Dependencies: Improving Point Cloud Self-Supervised Learning through Object Exchange

Yanhao Wu, Tong Zhang, Wei Ke et al.

Differentiable Point-based Inverse Rendering

Hoon-Gyu Chung, Seokjun Choi, Seung-Hwan Baek

Diffusion Reflectance Map: Single-Image Stochastic Inverse Rendering of Illumination and Reflectance

Yuto Enyo, Ko Nishino

VCD-Texture: Variance Alignment based 3D-2D Co-Denoising for Text-Guided Texturing

Shang Liu, Chaohui Yu, Chenjie Cao et al.

DySeT: a Dynamic Masked Self-distillation Approach for Robust Trajectory Prediction

MOZHGAN POURKESHAVARZ, Arielle Zhang, Amir Rasouli

Networked Inequality: Preferential Attachment Bias in Graph Neural Network Link Prediction

Arjun Subramonian, Levent Sagun, Yizhou Sun

GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for Multi-Label Image Recognition

Ruijie Yao, Sheng Jin, Lumin Xu et al.

Faithful Model Explanations through Energy-Constrained Conformal Counterfactuals

Patrick Altmeyer, Mojtaba Farmanbar, Arie Van Deursen et al.

Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks

Puja Trivedi, Mark Heimann, Rushil Anirudh et al.

Counterfactual Density Estimation using Kernel Stein Discrepancies

Diego Martinez-Taboada, Edward Kennedy

Exploiting Polarized Material Cues for Robust Car Detection

Wen Dong, Haiyang Mei, Ziqi Wei et al.

Evaluation of Test-Time Adaptation Under Computational Time Constraints

Motasem Alfarra, Hani Itani, Alejandro Pardo et al.

Global Latent Neural Rendering

Thomas Tanay, Matteo Maggioni

Optimizing Illuminant Estimation in Dual-Exposure HDR Imaging

Mahmoud Afifi, Zhenhua Hu, Liang Liang

Region-centric Image-Language Pretraining for Open-Vocabulary Detection

Dahun Kim, Anelia Angelova, Weicheng Kuo

ADFactory: An Effective Framework for Generalizing Optical Flow with NeRF

Han Ling, Quansen Sun, Yinghui Sun et al.

Towards the Disappearing Truth: Fine-Grained Joint Causal Influences Learning with Hidden Variable-Driven Causal Hypergraphs

Kun Zhu, Chunhui Zhao

Removing Interference and Recovering Content Imaginatively for Visible Watermark Removal

Yicheng Leng, Chaowei Fang, Gen Li et al.

Hand-Centric Motion Refinement for 3D Hand-Object Interaction via Hierarchical Spatial-Temporal Modeling

Yuze Hao, Jianrong Zhang, Tao Zhuo et al.

Constrained Ensemble Exploration for Unsupervised Skill Discovery

Chenjia Bai, Rushuai Yang, Qiaosheng Zhang et al.

Probabilistic Neural Circuits

Pedro Zuidberg Dos Martires

The Devil is in the Statistics: Mitigating and Exploiting Statistics Difference for Generalizable Semi-supervised Medical Image Segmentation

Muyang Qiu, Jian Zhang, Lei Qi et al.

Your Career Path Matters in Person-Job Fit

Zhuocheng Gong, Yang Song, Tao Zhang et al.

Extreme Point Supervised Instance Segmentation

Hyeonjun Lee, Sehyun Hwang, Suha Kwak

Enhancing Tampered Text Detection through Frequency Feature Fusion and Decomposition

Zhongxi Chen, Shen Chen, Taiping Yao et al.

Unveiling the Unseen: Identifiable Clusters in Trained Depthwise Convolutional Kernels

Zahra Babaiee, Peyman Kiasari, Daniela Rus et al.

Sparse Variational Student-t Processes

Jian Xu, Delu Zeng

Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection

Yunfeng Fan, Wenchao Xu, Haozhao Wang et al.

On PI Controllers for Updating Lagrange Multipliers in Constrained Optimization

Motahareh Sohrabi, Juan Ramirez, Tianyue Zhang et al.

Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing

Yunlong Zhao, Xiaoheng Deng, Yijing Liu et al.

Detours for Navigating Instructional Videos

Kumar Ashutosh, Zihui Xue, Tushar Nagarajan et al.

GroCo: Ground Constraint for Metric Self-Supervised Monocular Depth

Aurélien Cecille, Stefan Duffner, Franck DAVOINE et al.

Using Stratified Sampling to Improve LIME Image Explanations

Muhammad Rashid, Elvio G. Amparore, Enrico Ferrari et al.

HGL: Hierarchical Geometry Learning for Test-time Adaptation in 3D Point Cloud Segmentation

Tianpei Zou, Sanqing Qu, Zhijun Li et al.

Temporal Residual Jacobians for Rig-free Motion Transfer

Sanjeev Muralikrishnan, Niladri Shekhar Dutt, Siddhartha Chaudhuri et al.

Defense without Forgetting: Continual Adversarial Defense with Anisotropic & Isotropic Pseudo Replay

Yuhang Zhou, Zhongyun Hua

Learning the Causal Structure of Networked Dynamical Systems under Latent Nodes and Structured Noise

Augusto Santos, Diogo Rente, Rui Seabra et al.

Fair Classifiers that Abstain without Harm

Tongxin Yin, Jean-Francois Ton, Ruocheng Guo et al.

Learning to Drive via Asymmetric Self-Play

Chris Zhang, Sourav Biswas, Kelvin Wong et al.

$t^3$-Variational Autoencoder: Learning Heavy-tailed Data with Student's t and Power Divergence

Juno Kim, Jaehyuk Kwon, Mincheol Cho et al.

On the Identifiability of Switching Dynamical Systems

Carles Balsells-Rodas, Yixin Wang, Yingzhen Li

Continuous Invariance Learning

LIN Yong, Fan Zhou, Lu Tan et al.

Learning Hierarchical Polynomials with Three-Layer Neural Networks

Zihao Wang, Eshaan Nichani, Jason Lee

Video Recognition in Portrait Mode

Mingfei Han, Linjie Yang, Xiaojie Jin et al.

No Wrong Turns: The Simple Geometry Of Neural Networks Optimization Paths

Charles Guille-Escuret, Hiroki Naganuma, Kilian Fatras et al.

Color Event Enhanced Single-Exposure HDR Imaging

Mengyao Cui, Zhigang Wang, Dong Wang et al.

Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural Networks

Arjun Karuvally, Terrence Sejnowski, Hava Siegelmann

Layout-Corrector: Alleviating Layout Sticking Phenomenon in Discrete Diffusion Model

Shoma Iwai, Atsuki Osanai, Shunsuke Kitada et al.

Encodings for Prediction-based Neural Architecture Search

Yash Akhauri, Mohamed Abdelfattah

Towards Running Time Analysis of Interactive Multi-Objective Evolutionary Algorithms

Tianhao Lu, Chao Bian, Chao Qian

DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks

Tongzhou Mu, Minghua Liu, Hao Su

Adapt and Diffuse: Sample-adaptive Reconstruction via Latent Diffusion Models

Zalan Fabian, Berk Tinaz, Mahdi Soltanolkotabi

SDPose: Tokenized Pose Estimation via Circulation-Guide Self-Distillation

Chen Sichen, Yingyi Zhang, Siming Huang et al.

AvatarPose: Avatar-guided 3D Pose Estimation of Close Human Interaction from Sparse Multi-view Videos

Feichi Lu, Zijian Dong, Jie Song et al.

Removing Distributional Discrepancies in Captions Improves Image-Text Alignment

Mu Cai, Haotian Liu, Yuheng Li et al.

Denoising Autoregressive Representation Learning

Yazhe Li, Jorg Bornschein, Ting Chen

Image-adaptive 3D Lookup Tables for Real-time Image Enhancement with Bilateral Grids

Wontae Kim, Nam Ik Cho

Relational DNN Verification With Cross Executional Bound Refinement

Debangshu Banerjee, Gagandeep Singh

Exploiting the Social-Like Prior in Transformer for Visual Reasoning

Yudong Han, Yupeng Hu, Xuemeng Song et al.

Do Transformer World Models Give Better Policy Gradients?

Michel Ma, Tianwei Ni, Clement Gehring et al.

Steganographic Passport: An Owner and User Verifiable Credential for Deep Model IP Protection Without Retraining

Qi Cui, Ruohan Meng, Chaohui Xu et al.

CGI-DM: Digital Copyright Authentication for Diffusion Models via Contrasting Gradient Inversion

Xiaoyu Wu, Yang Hua, Chumeng Liang et al.

Limited Query Graph Connectivity Test

Mingyu Guo, Jialiang Li, Aneta Neumann et al.

Inverse Weight-Balancing for Deep Long-Tailed Learning

Wenqi Dang, Zhou Yang, Weisheng Dong et al.

Detecting and Identifying Selection Structure in Sequential Data

Yujia Zheng, Zeyu Tang, Yiwen Qiu et al.

Combinatorial Approximations for Cluster Deletion: Simpler, Faster, and Better

Vicente Balmaseda, Ying Xu, Yixin Cao et al.

Descriptor and Word Soups: Overcoming the Parameter Efficiency Accuracy Tradeoff for Out-of-Distribution Few-shot Learning

Christopher Liao, Theodoros Tsiligkaridis, Brian Kulis

Differentiable Product Quantization for Memory Efficient Camera Relocalization

Zakaria Laskar, Iaroslav Melekhov, Assia Benbihi et al.

Multi-Agent Reinforcement Learning with Hierarchical Coordination for Emergency Responder Stationing

Amutheezan Sivagnanam, Ava Pettet, Hunter Lee et al.

OneTrack: Demystifying the Conflict Between Detection and Tracking in End-to-End 3D Trackers

Qitai Wang, Jiawei He, Yuntao Chen et al.

Auto-Linear Phenomenon in Subsurface Imaging

Yinan Feng, Yinpeng Chen, Peng Jin et al.

Towards Backward-Compatible Continual Learning of Image Compression

Zhihao Duan, Ming Lu, Justin Yang et al.

Invariant Risk Minimization Is A Total Variation Model

Zhao-Rong Lai, Weiwen Wang

Unsupervised Deep Unrolling Networks for Phase Unwrapping

Zhile Chen, Yuhui Quan, Hui Ji

Epistemic Uncertainty Quantification For Pre-Trained Neural Networks

Hanjing Wang, Qiang Ji

Implicit meta-learning may lead language models to trust more reliable sources

Dmitrii Krasheninnikov, Egor Krasheninnikov, Bruno Mlodozeniec et al.

Direct Distillation between Different Domains

Jialiang Tang, Shuo Chen, Gang Niu et al.

PPIDSG: A Privacy-Preserving Image Distribution Sharing Scheme with GAN in Federated Learning

Yuting Ma, Yuanzhi Yao, Xiaohua Xu

Vision-Language Dual-Pattern Matching for Out-of-Distribution Detection

Zihan Zhang, Zhuo Xu, Xiang Xiang

PaPr: Training-Free One-Step Patch Pruning with Lightweight ConvNets for Faster Inference

Tanvir Mahmud, Burhaneddin Yaman, Chun-Hao Liu et al.

Neural Lineage

Runpeng Yu, Xinchao Wang

ALISON: Fast and Effective Stylometric Authorship Obfuscation

Eric Xing, Saranya Venkatraman, Thai Le et al.

Skill or Luck? Return Decomposition via Advantage Functions

Hsiao-Ru Pan, Bernhard Schoelkopf

Interacting Diffusion Processes for Event Sequence Forecasting

Mai Zeng, Florence Regol, Mark Coates

Coordinate-Aware Modulation for Neural Fields

Joo Chan Lee, Daniel Rho, Seungtae Nam et al.

Camera-LiDAR Cross-modality Gait Recognition

Wenxuan Guo, Yingping Liang, Zhiyu Pan et al.

Human Motion Prediction Under Unexpected Perturbation

Jiangbei Yue, Baiyi Li, Julien Pettré et al.

Modelling Competitive Behaviors in Autonomous Driving Under Generative World Model

Guanren Qiao, Guiliang Liu, Guorui Quan et al.

Efficiently Computing Similarities to Private Datasets

Arturs Backurs, Zinan Lin, Sepideh Mahabadi et al.

A high-quality robust diffusion framework for corrupted dataset

Quan Dao, Binh Ta, Tung Pham et al.

Multiscale Vision Transformers Meet Bipartite Matching for Efficient Single-stage Action Localization

Ioanna Ntinou, Enrique Sanchez, Georgios Tzimiropoulos

CONDA: Condensed Deep Association Learning for Co-Salient Object Detection.

Long Li, Nian Liu, Dingwen Zhang et al.

Taming the Tail in Class-Conditional GANs: Knowledge Sharing via Unconditional Training at Lower Resolutions

Saeed Khorram, Mingqi Jiang, Mohamad Shahbazi et al.

Bridging Mini-Batch and Asymptotic Analysis in Contrastive Learning: From InfoNCE to Kernel-Based Losses

Panagiotis Koromilas, Giorgos Bouritsas, Theodoros Giannakopoulos et al.

Layerwise Change of Knowledge in Neural Networks

Xu Cheng, Lei Cheng, Zhaoran Peng et al.

Decentralized Gradient-Free Methods for Stochastic Non-smooth Non-convex Optimization

Zhenwei Lin, Jingfan Xia, Qi Deng et al.

Polarization Wavefront Lidar: Learning Large Scene Reconstruction from Polarized Wavefronts

Dominik Scheuble, Chenyang Lei, Mario Bijelic et al.

Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics

Haoyang Zheng, Hengrong Du, Qi Feng et al.

Language Model Guided Interpretable Video Action Reasoning

Ning Wang, Guangming Zhu, Hongsheng Li et al.

Instance-based Max-margin for Practical Few-shot Recognition

Minghao Fu, Ke Zhu

Offline RL with Observation Histories: Analyzing and Improving Sample Complexity

Joey Hong, Anca Dragan, Sergey Levine

Prediction without Preclusion: Recourse Verification with Reachable Sets

Avni Kothari, Bogdan Kulynych, Tsui-Wei Weng et al.

Diffeomorphic Mesh Deformation via Efficient Optimal Transport for Cortical Surface Reconstruction

Thanh-Tung Le, Khai Nguyen, shanlin sun et al.

Plug-and-Play Posterior Sampling under Mismatched Measurement and Prior Models

Marien Renaud, Jiaming Liu, Valentin De Bortoli et al.

BTR: Binary Token Representations for Efficient Retrieval Augmented Language Models

Qingqing Cao, Sewon Min, Yizhong Wang et al.

Interactive Visual Task Learning for Robots

Weiwei Gu, Anant Sah, N. Gopalan

Semantic Shield: Defending Vision-Language Models Against Backdooring and Poisoning via Fine-grained Knowledge Alignment

Alvi Md Ishmam, Chris Thomas

TRINS: Towards Multimodal Language Models that Can Read

Ruiyi Zhang, Yanzhe Zhang, Jian Chen et al.

SeTformer Is What You Need for Vision and Language

Pourya Shamsolmoali, Masoumeh Zareapoor, Eric Granger et al.

lpNTK: Better Generalisation with Less Data via Sample Interaction During Learning

Shangmin Guo, YI REN, Stefano Albrecht et al.

VISAGE: Video Instance Segmentation with Appearance-Guided Enhancement

Hanjung Kim, Jaehyun Kang, Miran Heo et al.

Accelerating the Global Aggregation of Local Explanations

Alon Mor, Yonatan Belinkov, Benny Kimelfeld

Robust Zero-Shot Crowd Counting and Localization with Adaptive Resolution SAM

Jia Wan, qiangqiang wu, Wei Lin et al.

Learning to Localize Actions in Instructional Videos with LLM-Based Multi-Pathway Text-Video Alignment

Yuxiao Chen, Kai Li, Wentao Bao et al.

BI-MDRG: Bridging Image History in Multimodal Dialogue Response Generation

Hee Suk Yoon, Eunseop Yoon, Joshua Tian Jin Tee et al.

Any Target Can be Offense: Adversarial Example Generation via Generalized Latent Infection

Youheng Sun, Shengming Yuan, Xuanhan Wang et al.

Scene Graph Generation Strategy with Co-occurrence Knowledge and Learnable Term Frequency

Hyeongjin Kim, Sangwon Kim, Dasom Ahn et al.

How Deep Networks Learn Sparse and Hierarchical Data: the Sparse Random Hierarchy Model

Umberto Tomasini, Matthieu Wyart

Harnessing Meta-Learning for Improving Full-Frame Video Stabilization

Muhammad Kashif Ali, Eun Woo Im, Dongjin Kim et al.

Fast and Controllable Post-training Sparsity: Learning Optimal Sparsity Allocation with Global Constraint in Minutes

Ruihao Gong, Yang Yong, Zining Wang et al.

Learn to Memorize and to Forget: A Continual Learning Perspective of Dynamic SLAM

Baicheng Li, Zike Yan, Dong Wu et al.

From Fourier to Neural ODEs: Flow Matching for Modeling Complex Systems

Xin Li, Jingdong Zhang, Qunxi Zhu et al.

Optimal Differentially Private Model Training with Public Data

Andrew Lowy, Zeman Li, Tianjian Huang et al.

SDAC: A Multimodal Synthetic Dataset for Anomaly and Corner Case Detection in Autonomous Driving

Lei Gong, Yu Zhang, Yingqing Xia et al.

Teacher as a Lenient Expert: Teacher-Agnostic Data-Free Knowledge Distillation

Hyunjune Shin, Dong-Wan Choi

Entropy-Reinforced Planning with Large Language Models for Drug Discovery

Xuefeng Liu, Chih-chan Tien, Peng Ding et al.

Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction

Chen-Yu Yen, raghav singhal, Umang Sharma et al.

LASER: Linear Compression in Wireless Distributed Optimization

Ashok Vardhan Makkuva, Marco Bondaschi, Thijs Vogels et al.

Unmasking Bias in Diffusion Model Training

Hu Yu, Li Shen, Jie Huang et al.

Generating Illustrated Instructions

Sachit Menon, Ishan Misra, Rohit Girdhar

Learning Image Demoireing from Unpaired Real Data

Yunshan Zhong, Zhou Yuyao, Yuxin Zhang et al.

EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time

Shengyao Lu, Bang Liu, Keith Mills et al.

StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization

Songhua Liu, Xin Jin, Xingyi Yang et al.

Bandits Meet Mechanism Design to Combat Clickbait in Online Recommendation

Thomas Kleine Buening, Aadirupa Saha, Christos Dimitrakakis et al.

Fast Training of Diffusion Transformer with Extreme Masking for 3D Point Clouds Generation

Shentong Mo, Enze Xie, Yue Wu et al.

LEAD: Exploring Logit Space Evolution for Model Selection

Zixuan Hu, Xiaotong Li, SHIXIANG TANG et al.

Multi-Modal Disordered Representation Learning Network for Description-Based Person Search

Fan Yang, Wei Li, Menglong Yang et al.

On the Hardness of Probabilistic Neurosymbolic Learning

Jaron Maene, Vincent Derkinderen, Luc De Raedt

U-VAP: User-specified Visual Appearance Personalization via Decoupled Self Augmentation

You Wu, Kean Liu, Xiaoyue Mi et al.

Benchmarking Segmentation Models with Mask-Preserved Attribute Editing

Zijin Yin, Kongming Liang, Bing Li et al.

Terrain Diffusion Network: Climatic-Aware Terrain Generation with Geological Sketch Guidance

Zexin Hu, Kun Hu, Clinton Mo et al.

LORS: Low-rank Residual Structure for Parameter-Efficient Network Stacking

Jialin Li, Qiang Nie, Weifu Fu et al.

Towards Eliminating Hard Label Constraints in Gradient Inversion Attacks

Yanbo Wang, Jian Liang, Ran He

Gen-Z: Generative Zero-Shot Text Classification with Contextualized Label Descriptions

Sachin Kumar, Chan Young Park, Yulia Tsvetkov

SyCoCa: Symmetrizing Contrastive Captioners with Attentive Masking for Multimodal Alignment

Ziping Ma, Furong Xu, Jian liu et al.

Learning Pseudo-Contractive Denoisers for Inverse Problems

Deliang Wei, Peng Chen, Fang Li

On Computing Makespan-Optimal Solutions for Generalized Sliding-Tile Puzzles

Marcus Gozon, Jingjin Yu

OxyGenerator: Reconstructing Global Ocean Deoxygenation Over a Century with Deep Learning

Bin Lu, Ze Zhao, Luyu Han et al.

Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL

Yu Luo, Tianying Ji, Fuchun Sun et al.

Conceptual Codebook Learning for Vision-Language Models

Yi Zhang, Ke Yu, Siqi Wu et al.

Independent-Set Design of Experiments for Estimating Treatment and Spillover Effects under Network Interference

Chencheng Cai, Xu Zhang, Edoardo Airoldi

BiTT: Bi-directional Texture Reconstruction of Interacting Two Hands from a Single Image

Minje Kim, Tae-Kyun Kim

Bivariate Causal Discovery using Bayesian Model Selection

Anish Dhir, Samuel Power, Mark van der Wilk

Semantically Guided Representation Learning For Action Anticipation

Anxhelo Diko, Danilo Avola, Bardh Prenkaj et al.

Artist-Friendly Relightable and Animatable Neural Heads

Yingyan Xu, Prashanth Chandran, Sebastian Weiss et al.

Rawformer: Unpaired Raw-to-Raw Translation for Learnable Camera ISPs

Georgy Perevozchikov, Nancy Mehta, Mahmoud Afifi et al.

Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks

Duy Nguyen, Nina Lukashina, Tai Nguyen et al.