Most Cited 2024 "vision-audio-language benchmark" Papers
12,324 papers found • Page 36 of 62
Conference
Stereo Risk: A Continuous Modeling Approach to Stereo Matching
Ce Liu, Suryansh Kumar, Shuhang Gu et al.
Hierarchical Aligned Multimodal Learning for NER on Tweet Posts
Peipei Liu, Hong Li, Yimo Ren et al.
Audio Scanning Network: Bridging Time and Frequency Domains for Audio Classification
Liangwei Chen, Xiren Zhou, Huanhuan Chen
FedHyper: A Universal and Robust Learning Rate Scheduler for Federated Learning with Hypergradient Descent
Ziyao Wang, Jianyu Wang, Ang Li
A Dynamic Learning Method towards Realistic Compositional Zero-Shot Learning
Xiaoming Hu, Zilei Wang
SLAck: Semantic, Location, and Appearance Aware Open-Vocabulary Tracking
Siyuan Li, Lei Ke, Yung-Hsu Yang et al.
On Hypothesis Transfer Learning of Functional Linear Models
Haotian Lin, Matthew Reimherr
Position: Foundation Agents as the Paradigm Shift for Decision Making
Xiaoqian Liu, Xingzhou Lou, Jianbin Jiao et al.
Social Reward: Evaluating and Enhancing Generative AI through Million-User Feedback from an Online Creative Community
Arman Isajanyan, Artur Shatveryan, David Kocharian et al.
Be More Active! Understanding the Differences Between Mean and Sampled Representations of Variational Autoencoders
Lisa Bonheme, Marek Grzes
Online Submodular Maximization via Online Convex Optimization
Tareq Si Salem, Gözde Özcan, Iasonas Nikolaou et al.
Plan, Posture and Go: Towards Open-vocabulary Text-to-Motion Generation
Jinpeng Liu, Wenxun Dai, Chunyu Wang et al.
FFF: Fixing Flawed Foundations in Contrastive Pre-Training Results in Very Strong Vision-Language Models
Adrian Bulat, Yassine Ouali, Georgios Tzimiropoulos
Querying Easily Flip-flopped Samples for Deep Active Learning
Seong Jin Cho, Gwangsu Kim, Junghyun Lee et al.
RISurConv: Rotation Invariant Surface Attention-Augmented Convolutions for 3D Point Cloud Classification and Segmentation
Zhiyuan Zhang, Licheng Yang, Zhiyu Xiang
On the Last-Iterate Convergence of Shuffling Gradient Methods
Zijian Liu, Zhengyuan Zhou
Bidirectional Progressive Transformer for Interaction Intention Anticipation
Zichen Zhang, Hongchen Luo, Wei Zhai et al.
Chronologically Accurate Retrieval for Temporal Grounding of Motion-Language Models
Kent Fujiwara, Mikihiro Tanaka, Qing Yu
Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks
Lulu Xue, Shengshan Hu, Ruizhi Zhao et al.
LoRAP: Transformer Sub-Layers Deserve Differentiated Structured Compression for Large Language Models
guangyan li, Yongqiang Tang, Wensheng Zhang
Sharpness-Aware Data Poisoning Attack
Pengfei He, Han Xu, Jie Ren et al.
Relational Matching for Weakly Semi-Supervised Oriented Object Detection
Wenhao Wu, Hau San Wong, Si Wu et al.
In-N-Out: Faithful 3D GAN Inversion with Volumetric Decomposition for Face Editing
Yiran Xu, Zhixin Shu, Cameron Smith et al.
AMES: Asymmetric and Memory-Efficient Similarity Estimation for Instance-level Retrieval
Pavel Suma, Giorgos Kordopatis-Zilos, Ahmet Iscen et al.
Interventional Fairness on Partially Known Causal Graphs: A Constrained Optimization Approach
Aoqi Zuo, yiqing li, Susan Wei et al.
Improving Out-of-Distribution Generalization in Graphs via Hierarchical Semantic Environments
Yinhua Piao, Sangseon Lee, Yijingxiu Lu et al.
QPEN: Quantum Projection and Quantum Entanglement Enhanced Network for Cross-Lingual Aspect-Based Sentiment Analysis
Xingqiang Zhao, Hai Wan, Kunxun Qi
Two-sided Competing Matching Recommendation Markets With Quota and Complementary Preferences Constraints
Yuantong Li, Guang Cheng, Xiaowu Dai
Distribution Alignment for Fully Test-Time Adaptation with Dynamic Online Data Streams
Ziqiang Wang, Zhixiang Chi, Yanan Wu et al.
Revisiting Data Augmentation in Deep Reinforcement Learning
Jianshu Hu, Yunpeng Jiang, Paul Weng
Automatic Controllable Colorization via Imagination
Xiaoyan Cong, Yue Wu, Qifeng Chen et al.
X-Oscar: A Progressive Framework for High-quality Text-guided 3D Animatable Avatar Generation
Yiwei Ma, Zhekai Lin, Jiayi Ji et al.
Local-consistent Transformation Learning for Rotation-invariant Point Cloud Analysis
Yiyang Chen, Lunhao Duan, Shanshan Zhao et al.
Eluder-based Regret for Stochastic Contextual MDPs
Orin Levy, Asaf Cassel, Alon Cohen et al.
Correcting Diffusion-Based Perceptual Image Compression with Privileged End-to-End Decoder
Yiyang Ma, Wenhan Yang, Jiaying Liu
CFEVER: A Chinese Fact Extraction and VERification Dataset
Ying-Jia Lin, ChunYi Lin, Chia-Jen Yeh et al.
Knowledge Enhanced Representation Learning for Drug Discovery
Thanh Lam Hoang, Marco Luca Sbodio, Marcos Martinez et al.
3D Geometric Shape Assembly via Efficient Point Cloud Matching
Nahyuk Lee, Juhong Min, Junha Lee et al.
Stabilizing Policy Gradients for Stochastic Differential Equations via Consistency with Perturbation Process
Xiangxin Zhou, Liang Wang, Yichi Zhou
Audio-visual Generalized Zero-shot Learning the Easy Way
Shentong Mo, Pedro Morgado
Prompting Future Driven Diffusion Model for Hand Motion Prediction
Bowen Tang, Kaihao Zhang, Wenhan Luo et al.
Beyond Vanilla Variational Autoencoders: Detecting Posterior Collapse in Conditional and Hierarchical Variational Autoencoders
Hien Dang, Tho-Huu Tran, Tan Nguyen et al.
Towards Robust Event-based Networks for Nighttime via Unpaired Day-to-Night Event Translation
Yuhwan Jeong, Hoonhee Cho, Kuk-Jin Yoon
Learning to Control Camera Exposure via Reinforcement Learning
Kyunghyun Lee, Ukcheol Shin, Byeong-Uk Lee
Large-Scale Multi-Robot Coverage Path Planning via Local Search
Jingtao Tang, Hang Ma
3DEgo: 3D Editing on the Go!
Umar Khalid, Hasan Iqbal, Azib Farooq et al.
Preventing Catastrophic Forgetting through Memory Networks in Continuous Detection
Gaurav Bhatt, Leonid Sigal, James Ross
Domain-adaptive Video Deblurring via Test-time Blurring
Jin-Ting He, Fu-Jen Tsai, Jia-Hao Wu et al.
Disjoint Partial Enumeration without Blocking Clauses
Giuseppe Spallitta, Roberto Sebastiani, Armin Biere
Masked Spatial Propagation Network for Sparsity-Adaptive Depth Refinement
Jinyoung Jun, Jae-Han Lee, Chang-Su Kim
Deep Reinforcement Learning for Modelling Protein Complexes
Ziqi Gao, Tao Feng, Jiaxuan You et al.
Learning Personalized Causally Invariant Representations for Heterogeneous Federated Clients
Xueyang Tang, Song Guo, Jie ZHANG et al.
UniINR: Event-guided Unified Rolling Shutter Correction, Deblurring, and Interpolation
Yunfan Lu, Guoqiang Liang, Yusheng Wang et al.
An Explainable Vision Question Answer Model via Diffusion Chain-of-Thought
Chunhao LU, Qiang Lu, Jake Luo
Zero-Shot Multi-Object Scene Completion
Shun Iwase, Katherine Liu, Vitor Guizilini et al.
DittoGym: Learning to Control Soft Shape-Shifting Robots
Suning Huang, Boyuan Chen, Huazhe Xu et al.
Active Adaptive Experimental Design for Treatment Effect Estimation with Covariate Choice
Masahiro Kato, Oga Akihiro, Wataru Komatsubara et al.
SMaRt: Improving GANs with Score Matching Regularity
Mengfei Xia, Yujun Shen, Ceyuan Yang et al.
Two-timescale Derivative Free Optimization for Performative Prediction with Markovian Data
Haitong LIU, Qiang Li, Hoi To Wai
Towards a Better Theoretical Understanding of Independent Subnetwork Training
Egor Shulgin, Peter Richtarik
Learning Modality Knowledge Alignment for Cross-Modality Transfer
Wenxuan Ma, Shuang Li, Lincan Cai et al.
Prior Mismatch and Adaptation in PnP-ADMM with a Nonconvex Convergence Analysis
Shirin Shoushtari, JIAMING LIU, Edward Chandler et al.
Classification Under Strategic Self-Selection
Guy Horowitz, Yonatan Sommer, Moran Koren et al.
PGODE: Towards High-quality System Dynamics Modeling
Xiao Luo, Yiyang Gu, Huiyu Jiang et al.
Combinatorial Multivariant Multi-Armed Bandits with Applications to Episodic Reinforcement Learning and Beyond
Xutong Liu, Siwei Wang, Jinhang Zuo et al.
Initial Guessing Bias: How Untrained Networks Favor Some Classes
Emanuele Francazi, Aurelien Lucchi, Marco Baity-Jesi
xT: Nested Tokenization for Larger Context in Large Images
Ritwik Gupta, Shufan Li, Tyler Zhu et al.
Memory Efficient Neural Processes via Constant Memory Attention Block
Leo Feng, Frederick Tung, Hossein Hajimirsadeghi et al.
Mean-field Analysis on Two-layer Neural Networks from a Kernel Perspective
Shokichi Takakura, Taiji Suzuki
Fast and Sample Efficient Multi-Task Representation Learning in Stochastic Contextual Bandits
Jiabin Lin, Shana Moothedath, Namrata Vaswani
Path-Guided Particle-based Sampling
Mingzhou Fan, Ruida Zhou, Chao Tian et al.
Nesting Particle Filters for Experimental Design in Dynamical Systems
Sahel Iqbal, Adrien Corenflos, Simo Särkkä et al.
What’s the score? Automated Denoising Score Matching for Nonlinear Diffusions
raghav singhal, Mark Goldstein, Rajesh Ranganath
Variational Schrödinger Diffusion Models
Wei Deng, Weijian Luo, Yixin Tan et al.
Bayesian Optimization of Function Networks with Partial Evaluations
Poompol Buathong, Jiayue Wan, Raul Astudillo et al.
Federated Combinatorial Multi-Agent Multi-Armed Bandits
Fares Fourati, Mohamed-Slim Alouini, Vaneet Aggarwal
Stability and Multigroup Fairness in Ranking with Uncertain Predictions
Siddartha Devic, Aleksandra Korolova, David Kempe et al.
EvIL: Evolution Strategies for Generalisable Imitation Learning
Silvia Sapora, Gokul Swamy, Christopher Lu et al.
Hieros: Hierarchical Imagination on Structured State Space Sequence World Models
Paul Mattes, Rainer Schlosser, Ralf Herbrich
Pruned Pivot: Correlation Clustering Algorithm for Dynamic, Parallel, and Local Computation Models
Mina Dalirrooyfard, Konstantin Makarychev, Slobodan Mitrovic
Enhancing Size Generalization in Graph Neural Networks through Disentangled Representation Learning
Zheng Huang, Qihui Yang, Dawei Zhou et al.
Random Latent Exploration for Deep Reinforcement Learning
Srinath Mahankali, Zhang-Wei Hong, Ayush Sekhari et al.
Collage: Light-Weight Low-Precision Strategy for LLM Training
Tao Yu, Gaurav Gupta, KARTHICK GOPALSWAMY et al.
Bayesian Design Principles for Offline-to-Online Reinforcement Learning
Hao Hu, yiqin yang, Jianing Ye et al.
Differentiable Distributionally Robust Optimization Layers
Xutao Ma, Chao Ning, WenLi Du
Model-based Reinforcement Learning for Parameterized Action Spaces
Renhao Zhang, Haotian Fu, Yilin Miao et al.
Weakly-Supervised Residual Evidential Learning for Multi-Instance Uncertainty Estimation
Pei Liu, Luping Ji
Sparse-IFT: Sparse Iso-FLOP Transformations for Maximizing Training Efficiency
Vithursan Thangarasa, Shreyas Saxena, Abhay Gupta et al.
Understanding MLP-Mixer as a wide and sparse MLP
Tomohiro Hayase, Ryo Karakida
A Nearly Optimal Single Loop Algorithm for Stochastic Bilevel Optimization under Unbounded Smoothness
Xiaochuan Gong, Jie Hao, Mingrui Liu
Detecting and Identifying Selection Structure in Sequential Data
Yujia Zheng, Zeyu Tang, Yiwen Qiu et al.
No Wrong Turns: The Simple Geometry Of Neural Networks Optimization Paths
Charles Guille-Escuret, Hiroki Naganuma, Kilian Fatras et al.
Sub-token ViT Embedding via Stochastic Resonance Transformers
Dong Lao, Yangchao Wu, Tian Yu Liu et al.
Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics
Haoyang Zheng, Hengrong Du, Qi Feng et al.
SelfVC: Voice Conversion With Iterative Refinement using Self Transformations
Paarth Neekhara, Shehzeen Hussain, Rafael Valle et al.
Prospective Side Information for Latent MDPs
Jeongyeol Kwon, Yonathan Efroni, Shie Mannor et al.
Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making
Parand A. Alamdari, Toryn Q. Klassen, Elliot Creager et al.
Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation
Fengdi Che, Chenjun Xiao, Jincheng Mei et al.
Adaptive Sampling of k-Space in Magnetic Resonance for Rapid Pathology Prediction
Chen-Yu Yen, raghav singhal, Umang Sharma et al.
Bivariate Causal Discovery using Bayesian Model Selection
Anish Dhir, Samuel Power, Mark van der Wilk
Cross-domain Open-world Discovery
Shuo Wen, Maria Brbic
Efficient Algorithms for Empirical Group Distributionally Robust Optimization and Beyond
Dingzhi Yu, Yunuo Cai, Wei Jiang et al.
Deep Equilibrium Models are Almost Equivalent to Not-so-deep Explicit Models for High-dimensional Gaussian Mixtures
Zenan Ling, Longbo Li, Zhanbo Feng et al.
Beyond the Federation: Topology-aware Federated Learning for Generalization to Unseen Clients
Mengmeng Ma, Tang Li, Xi Peng
Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features
Thalles Silva, Helio Pedrini, Adín Ramírez Rivera
Generating In-Distribution Proxy Graphs for Explaining Graph Neural Networks
Zhuomin Chen, Jiaxing Zhang, Jingchao Ni et al.
Scene Graph Generation Strategy with Co-occurrence Knowledge and Learnable Term Frequency
Hyeongjin Kim, Sangwon Kim, Dasom Ahn et al.
Dealing With Unbounded Gradients in Stochastic Saddle-point Optimization
Gergely Neu, Nneka Okolo
Conditional Normalizing Flows for Active Learning of Coarse-Grained Molecular Representations
Henrik Schopmans, Pascal Friederich
Hidden Traveling Waves bind Working Memory Variables in Recurrent Neural Networks
Arjun Karuvally, Terrence Sejnowski, Hava Siegelmann
Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformer
Toru Shirakawa, Yi Li, Yulun Wu et al.
Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks
Duy Nguyen, Nina Lukashina, Tai Nguyen et al.
Differentially Private Representation Learning via Image Captioning
Tom Sander, Yaodong Yu, Maziar Sanjabi et al.
Towards the Theory of Unsupervised Federated Learning: Non-asymptotic Analysis of Federated EM Algorithms
Ye Tian, Haolei Weng, Yang Feng
StyDeSty: Min-Max Stylization and Destylization for Single Domain Generalization
Songhua Liu, Xin Jin, Xingyi Yang et al.
On the Nonlinearity of Layer Normalization
Yunhao Ni, Yuxin Guo, Junlong Jia et al.
Few-Shot Unsupervised Implicit Neural Shape Representation Learning with Spatial Adversaries
Amine Ouasfi, Adnane Boukhayma
Towards Interpretable Deep Local Learning with Successive Gradient Reconciliation
Yibo Yang, Xiaojie Li, Motasem Alfarra et al.
Evaluation of Test-Time Adaptation Under Computational Time Constraints
Motasem Alfarra, Hani Itani, Alejandro Pardo et al.
Nearest Neighbour Score Estimators for Diffusion Generative Models
Matthew Niedoba, Dylan Green, Saeid Naderiparizi et al.
EvoluNet: Advancing Dynamic Non-IID Transfer Learning on Graphs
Haohui Wang, Yuzhen Mao, Yujun Yan et al.
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
Thomas Pouplin, Alan Jeffares, Nabeel Seedat et al.
Provable Representation with Efficient Planning for Partially Observable Reinforcement Learning
Hongming Zhang, Tongzheng Ren, Chenjun Xiao et al.
Efficient Policy Evaluation with Offline Data Informed Behavior Policy Design
Shuze Liu, Shangtong Zhang
Multiscale Vision Transformers Meet Bipartite Matching for Efficient Single-stage Action Localization
Ioanna Ntinou, Enrique Sanchez, Georgios Tzimiropoulos
SDAC: A Multimodal Synthetic Dataset for Anomaly and Corner Case Detection in Autonomous Driving
Lei Gong, Yu Zhang, Yingqing Xia et al.
Direct Distillation between Different Domains
Jialiang Tang, Shuo Chen, Gang Niu et al.
Hetecooper: Feature Collaboration Graph for Heterogeneous Collaborative Perception
Congzhang Shao, Guiyang Luo, Quan Yuan et al.
G3DR: Generative 3D Reconstruction in ImageNet
Pradyumna Reddy, Ismail Elezi, Jiankang Deng
Learning Pseudo-Contractive Denoisers for Inverse Problems
Deliang Wei, Peng Chen, Fang Li
Improving Robustness to Model Inversion Attacks via Sparse Coding Architectures
Sayanton Vhaduri Dibbo, Adam Breuer, Juston Moore et al.
EiG-Search: Generating Edge-Induced Subgraphs for GNN Explanation in Linear Time
Shengyao Lu, Bang Liu, Keith Mills et al.
Adaptive Learning of Density Ratios in RKHS
Werner Zellinger, Stefan Kindermann, Sergei V. Pereverzyev
Self-Supervised Audio-Visual Soundscape Stylization
Tingle Li, Renhao Wang, Po-Yao Huang et al.
KITRO: Refining Human Mesh by 2D Clues and Kinematic-tree Rotation
Fengyuan Yang, Kerui Gu, Angela Yao
Interpreting Robustness Proofs of Deep Neural Networks
Debangshu Banerjee, Avaljot Singh, Gagandeep Singh
Multi-View Attentive Contextualization for Multi-View 3D Object Detection
Xianpeng Liu, Ce Zheng, Ming Qian et al.
Learning from Ambiguous Demonstrations with Self-Explanation Guided Reinforcement Learning
Yantian Zha, Lin Guan, Subbarao Kambhampati
Semantically Guided Representation Learning For Action Anticipation
Anxhelo Diko, Danilo Avola, Bardh Prenkaj et al.
Independent-Set Design of Experiments for Estimating Treatment and Spillover Effects under Network Interference
Chencheng Cai, Xu Zhang, Edoardo Airoldi
OxyGenerator: Reconstructing Global Ocean Deoxygenation Over a Century with Deep Learning
Bin Lu, Ze Zhao, Luyu Han et al.
Private Zeroth-Order Nonsmooth Nonconvex Optimization
Qinzi Zhang, Hoang Tran, Ashok Cutkosky
MLIP: Efficient Multi-Perspective Language-Image Pretraining with Exhaustive Data Utilization
Yu Zhang, Qi Zhang, Zixuan Gong et al.
DrS: Learning Reusable Dense Rewards for Multi-Stage Tasks
Tongzhou Mu, Minghua Liu, Hao Su
Interactive Visual Task Learning for Robots
Weiwei Gu, Anant Sah, N. Gopalan
Instance-based Max-margin for Practical Few-shot Recognition
Minghao Fu, Ke Zhu
UNR-Explainer: Counterfactual Explanations for Unsupervised Node Representation Learning Models
Hyunju Kang, Geonhee Han, Hogun Park
Anchoring Path for Inductive Relation Prediction in Knowledge Graphs
Zhixiang Su, Di Wang, Chunyan Miao et al.
Tell, Don't Show: Language Guidance Eases Transfer Across Domains in Images and Videos
Tarun Kalluri, Bodhisattwa Prasad Majumder, Manmohan Chandraker
Overcome Modal Bias in Multi-modal Federated Learning via Balanced Modality Selection
Yunfeng Fan, Wenchao Xu, Haozhao Wang et al.
Understanding Stochastic Natural Gradient Variational Inference
Kaiwen Wu, Jacob Gardner
Identifying Policy Gradient Subspaces
Jan Schneider, Pierre Schumacher, Simon Guist et al.
Improving Distant 3D Object Detection Using 2D Box Supervision
Zetong Yang, Zhiding Yu, Christopher Choy et al.
AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation
Taeckyung Lee, Sorn Chottananurak, Taesik Gong et al.
Implicit Motion Function
Yue Gao, Jiahao Li, Lei Chu et al.
Robust Zero-Shot Crowd Counting and Localization with Adaptive Resolution SAM
Jia Wan, qiangqiang wu, Wei Lin et al.
Prediction without Preclusion: Recourse Verification with Reachable Sets
Avni Kothari, Bogdan Kulynych, Tsui-Wei Weng et al.
NeBLa: Neural Beer-Lambert for 3D Reconstruction of Oral Structures from Panoramic Radiographs
Sihwa Park, Seongjun Kim, Doeyoung Kwon et al.
Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling
Hyungi Lee, Giung Nam, Edwin Fong et al.
Continuous Invariance Learning
LIN Yong, Fan Zhou, Lu Tan et al.
Unsupervised Multi-modal Medical Image Registration via Invertible Translation
Mengjie Guo
Structural Information Guided Multimodal Pre-training for Vehicle-Centric Perception
Xiao Wang, Wentao Wu, Chenglong Li et al.
Improving Zero-Shot Generalization for CLIP with Variational Adapter
Ziqian Lu, Fengli Shen, Mushui Liu et al.
Boosting Order-Preserving and Transferability for Neural Architecture Search: a Joint Architecture Refined Search and Fine-tuning Approach
Beichen Zhang, Xiaoxing Wang, Xiaohan Qin et al.
Region-centric Image-Language Pretraining for Open-Vocabulary Detection
Dahun Kim, Anelia Angelova, Weicheng Kuo
Removing Distributional Discrepancies in Captions Improves Image-Text Alignment
Mu Cai, Haotian Liu, Yuheng Li et al.
Diffusion-Based Image-to-Image Translation by Noise Correction via Prompt Interpolation
Junsung Lee, Minsoo Kang, Bohyung Han
Gradient-Aware for Class-Imbalanced Semi-supervised Medical Image Segmentation
Wenbo Qi, Jiafei Wu, S. C. Chan
Exploiting the Social-Like Prior in Transformer for Visual Reasoning
Yudong Han, Yupeng Hu, Xuemeng Song et al.
Inverse Weight-Balancing for Deep Long-Tailed Learning
Wenqi Dang, Zhou Yang, Weisheng Dong et al.
Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation
Louis Mahon, Thomas Lukasiewicz
NestE: Modeling Nested Relational Structures for Knowledge Graph Reasoning
Bo Xiong, Mojtaba Nayyeri, Linhao Luo et al.
Fair Classifiers that Abstain without Harm
Tongxin Yin, Jean-Francois Ton, Ruocheng Guo et al.
On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks
Qihua Zhou, Jingcai Guo, Song Guo et al.
Fast Text-to-3D-Aware Face Generation and Manipulation via Direct Cross-modal Mapping and Geometric Regularization
Jinlu Zhang, Yiyi Zhou, Qiancheng Zheng et al.
Momentum Auxiliary Network for Supervised Local Learning
Junhao Su, Changpeng Cai, Feiyu Zhu et al.
Implicit meta-learning may lead language models to trust more reliable sources
Dmitrii Krasheninnikov, Egor Krasheninnikov, Bruno Mlodozeniec et al.
Active Open-Vocabulary Recognition: Let Intelligent Moving Mitigate CLIP Limitations
Lei Fan, Jianxiong Zhou, Xiaoying Xing et al.
ALISON: Fast and Effective Stylometric Authorship Obfuscation
Eric Xing, Saranya Venkatraman, Thai Le et al.
Toward Availability Attacks in 3D Point Clouds
Yifan Zhu, Yibo Miao, Yinpeng Dong et al.
Accurate and Scalable Estimation of Epistemic Uncertainty for Graph Neural Networks
Puja Trivedi, Mark Heimann, Rushil Anirudh 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.
Infinite-Horizon Distributionally Robust Regret-Optimal Control
Taylan Kargin, Joudi Hajar, Vikrant Malik et al.
Fun with Flags: Robust Principal Directions via Flag Manifolds
Tolga Birdal, Nathan Mankovich
Semantic Human Mesh Reconstruction with Textures
xiaoyu zhan, Jianxin Yang, Yuanqi Li et al.
ConVQG: Contrastive Visual Question Generation with Multimodal Guidance
Li Mi, Syrielle Montariol, Javiera Castillo Navarro et al.
Improving Knowledge Extraction from LLMs for Task Learning through Agent Analysis
James Kirk, Robert Wray, Peter Lindes et al.
Dialogue for Prompting: A Policy-Gradient-Based Discrete Prompt Generation for Few-Shot Learning
Chengzhengxu Li, Xiaoming Liu, Yichen Wang et al.
Mitigating Label Noise on Graphs via Topological Sample Selection
Yuhao Wu, Jiangchao Yao, Xiaobo Xia et al.
Adaptive Human Trajectory Prediction via Latent Corridors
Neerja Thakkar, Karttikeya Mangalam, Andrea Bajcsy et al.
Click Prompt Learning with Optimal Transport for Interactive Segmentation
Jie Liu, haochen wang, Wenzhe Yin et al.
Double-Bounded Optimal Transport for Advanced Clustering and Classification
Liangliang Shi, Zhaoqi Shen, Junchi Yan
Spectral and Polarization Vision: Spectro-polarimetric Real-world Dataset
Yujin Jeon, Eunsue Choi, Youngchan Kim et al.
Constrained Layout Generation with Factor Graphs
Mohammed Haroon Dupty, Yanfei Dong, Sicong Leng et al.
Offline-Boosted Actor-Critic: Adaptively Blending Optimal Historical Behaviors in Deep Off-Policy RL
Yu Luo, Tianying Ji, Fuchun Sun et al.
Dual-Encoders for Extreme Multi-label Classification
Nilesh Gupta, Fnu Devvrit, Ankit Singh Rawat et al.
Graph Learning in 4D: A Quaternion-Valued Laplacian to Enhance Spectral GCNs
Stefano Fiorini, Stefano Coniglio, Michele Ciavotta et al.
Train Till You Drop: Towards Stable and Robust Source-free Unsupervised 3D Domain Adaptation
Bjoern Michele, Alexandre Boulch, Tuan Hung Vu et al.
From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Spurious Correlations in Image Recognition
Maan Qraitem, Kate Saenko, Bryan Plummer
HPE-Li: WiFi-enabled Lightweight Dual Selective Kernel Convolution for Human Pose Estimation
Gian Toan D., Tien Dac Lai, Thien Van Luong et al.