Most Cited 2024 "ucb-advantage algorithm" Papers
12,324 papers found • Page 46 of 62
Conference
Alpha Invariance: On Inverse Scaling Between Distance and Volume Density in Neural Radiance Fields
Joshua Ahn, Haochen Wang, Raymond A. Yeh et al.
JDEC: JPEG Decoding via Enhanced Continuous Cosine Coefficients
Woo Kyoung Han, Sunghoon Im, Jaedeok Kim et al.
Engineering an Exact Pseudo-Boolean Model Counter
Suwei Yang, Kuldeep S Meel
In-distribution Public Data Synthesis with Diffusion Models for Differentially Private Image Classification
Jinseong Park, Yujin Choi, Jaewook Lee
Domain Generalizable Person Search Using Unreal Dataset
Authors: Minyoung Oh, Duhyun Kim, Jae-Young Sim
Pairwise Distance Distillation for Unsupervised Real-World Image Super-Resolution
Yuehan Zhang, Seungjun Lee, Angela Yao
Investigating Pre-Training Objectives for Generalization in Vision-Based Reinforcement Learning
Donghu Kim, Hojoon Lee, Kyungmin Lee et al.
Learned Image Enhancement via Color Naming
David Serrano-Lozano, Luis Herranz, Michael S Brown et al.
CLR-GAN: Improving GANs Stability and Quality via Consistent Latent Representation and Reconstruction
Shengke Sun, Ziqian Luan, Zhanshan Zhao et al.
A Pre-convolved Representation for Plug-and-Play Neural Illumination Fields
Yiyu Zhuang, Qi Zhang, Xuan Wang et al.
Kernel Debiased Plug-in Estimation: Simultaneous, Automated Debiasing without Influence Functions for Many Target Parameters
Brian Cho, Yaroslav Mukhin, Kyra Gan et al.
GFlowNet Training by Policy Gradients
Puhua Niu, Shili Wu, Mingzhou Fan et al.
Towards Optimal Adversarial Robust Q-learning with Bellman Infinity-error
Haoran Li, Zicheng Zhang, Wang Luo et al.
Aligning Logits Generatively for Principled Black-Box Knowledge Distillation
Jing Ma, Xiang Xiang, Ke Wang et al.
Lagrangian Hashing for Compressed Neural Field Representations
Shrisudhan Govindarajan, Zeno Sambugaro, Akhmedkhan Shabanov et al.
SOS: Segment Object System for Open-World Instance Segmentation With Object Priors
Christian Wilms, Tim Rolff, Maris N Hillemann et al.
LightOctree: Lightweight 3D Spatially-Coherent Indoor Lighting Estimation
Xuecan Wang, Shibang Xiao, Xiaohui Liang
Learning by Correction: Efficient Tuning Task for Zero-Shot Generative Vision-Language Reasoning
Rongjie Li, Yu Wu, Xuming He
FreeAugment: Data Augmentation Search Across All Degrees of Freedom
Tom Bekor, Niv Nayman, Lihi Zelnik-Manor
Leveraging Imagery Data with Spatial Point Prior for Weakly Semi-supervised 3D Object Detection
Hongzhi Gao, Zheng Chen, Zehui Chen et al.
WAS: Dataset and Methods for Artistic Text Segmentation
Xudong Xie, Yuzhe Li, Yang Liu et al.
Equivariant Spatio-Temporal Self-Supervision for LiDAR Object Detection
Deepti Hegde, Suhas Lohit, Kuan-Chuan Peng et al.
Perceptual Scales Predicted by Fisher Information Metrics
Jonathan Vacher, Pascal Mamassian
The Effectiveness of Random Forgetting for Robust Generalization
Vijaya Raghavan T Ramkumar, Bahram Zonooz, Elahe Arani
SonicVisionLM: Playing Sound with Vision Language Models
Zhifeng Xie, Shengye Yu, Qile He et al.
Unraveling the Key Components of OOD Generalization via Diversification
Harold Benoit, Liangze Jiang, Andrei Atanov et al.
Transitional Uncertainty with Layered Intermediate Predictions
Ryan Benkert, Mohit Prabhushankar, Ghassan AlRegib
Provable Risk-Sensitive Distributional Reinforcement Learning with General Function Approximation
Yu Chen, XiangCheng Zhang, Siwei Wang et al.
Adversarial Attacks on Combinatorial Multi-Armed Bandits
Rishab Balasubramanian, Jiawei Li, Tadepalli Prasad et al.
Heterogeneous Graph Learning for Scene Graph Prediction in 3D Point Clouds
Yanni Ma, Hao Liu, Yun Pei et al.
Efficient Solution of Point-Line Absolute Pose
Petr Hruby, Timothy Duff, Marc Pollefeys
Upper-body Hierarchical Graph for Skeleton Based Emotion Recognition in Assistive Driving
Jiehui Wu, Jiansheng Chen, Qifeng Luo et al.
ActiveDC: Distribution Calibration for Active Finetuning
Wenshuai Xu, Zhenghui Hu, Yu Lu et al.
Self-Supervised Dual Contouring
Ramana Sundararaman, Roman Klokov, Maks Ovsjanikov
Compensation Sampling for Improved Convergence in Diffusion Models
Hui Lu, Albert Ali Salah, Ronald Poppe
Spatially-Variant Degradation Model for Dataset-free Super-resolution
ShaoJie Guo, Haofei Song, Qingli Li et al.
Self-Attention through Kernel-Eigen Pair Sparse Variational Gaussian Processes
Yingyi Chen, Qinghua Tao, Francesco Tonin et al.
Behind the Veil: Enhanced Indoor 3D Scene Reconstruction with Occluded Surfaces Completion
Su Sun, Cheng Zhao, Yuliang Guo et al.
Fast, Scalable, Warm-Start Semidefinite Programming with Spectral Bundling and Sketching
Rico Angell, Andrew McCallum
Scalable and Flexible Causal Discovery with an Efficient Test for Adjacency
Alan Amin, Andrew Wilson
High-Dimensional Kernel Methods under Covariate Shift: Data-Dependent Implicit Regularization
Yihang Chen, Fanghui Liu, Taiji Suzuki et al.
Pick-or-Mix: Dynamic Channel Sampling for ConvNets
Ashish Kumar, Daneul Kim, Jaesik Park et al.
KP-RED: Exploiting Semantic Keypoints for Joint 3D Shape Retrieval and Deformation
Ruida Zhang, Chenyangguang Zhang, Yan Di et al.
A3S: A General Active Clustering Method with Pairwise Constraints
Xun Deng, Junlong Liu, Han Zhong et al.
Resilience of Entropy Model in Distributed Neural Networks
Milin Zhang, Mohammad Abdi, Shahriar Rifat et al.
GATE: How to Keep Out Intrusive Neighbors
Nimrah Mustafa, Rebekka Burkholz
SALSA: Semantically-Aware Latent Space Autoencoder
Kathryn Kirchoff, Travis Maxfield, Alexander Tropsha et al.
MetaWeather: Few-Shot Weather-Degraded Image Restoration
Youngrae Kim, Younggeol Cho, Thanh-Tung Nguyen et al.
MaSS: Multi-attribute Selective Suppression for Utility-preserving Data Transformation from an Information-theoretic Perspective
Yizhuo Chen, Chun-Fu (Richard) Chen, Hsiang Hsu et al.
Inferring Dynamic Networks from Marginals with Iterative Proportional Fitting
Serina Chang, Frederic Koehler, Zhaonan Qu et al.
Benign Oscillation of Stochastic Gradient Descent with Large Learning Rate
Miao Lu, Beining Wu, Xiaodong Yang et al.
Feature Importance Disparities for Data Bias Investigations
Peter Chang, Leor Fishman, Seth Neel
Decoupling Representation and Knowledge for Few-Shot Intent Classification and Slot Filling
Jie Han, Yixiong Zou, Haozhao Wang et al.
HPFF: Hierarchical Locally Supervised Learning with Patch Feature Fusion
Junhao Su, Chenghao He, Feiyu Zhu et al.
Feasibility Consistent Representation Learning for Safe Reinforcement Learning
Zhepeng Cen, Yihang Yao, Zuxin Liu et al.
Unsupervised, Online and On-The-Fly Anomaly Detection For Non-Stationary Image Distributions
Declan GD McIntosh, Alexandra Branzan Albu
Binomial Self-compensation for Motion Error in Dynamic 3D Scanning
Geyou Zhang, Ce Zhu, Kai Liu
Differentiable Display Photometric Stereo
Seokjun Choi, Seungwoo Yoon, Giljoo Nam et al.
On Gradient-like Explanation under a Black-box Setting: When Black-box Explanations Become as Good as White-box
Yi Cai, Gerhard Wunder
TutteNet: Injective 3D Deformations by Composition of 2D Mesh Deformations
Bo Sun, Thibault Groueix, Chen Song et al.
Efficient Active Domain Adaptation for Semantic Segmentation by Selecting Information-rich Superpixels
Yuan Gao, Zilei Wang, Yixin Zhang et al.
Distilled Datamodel with Reverse Gradient Matching
Jingwen Ye, Ruonan Yu, Songhua Liu et al.
Time-Efficient Reinforcement Learning with Stochastic Stateful Policies
Firas Al-Hafez, Guoping Zhao, Jan Peters et al.
Risk Aware Benchmarking of Large Language Models
Apoorva Nitsure, Youssef Mroueh, Mattia Rigotti et al.
Balancing Humans and Machines: A Study on Integration Scale and Its Impact on Collaborative Performance
Rui Zou, Sannyuya Liu, Yawei Luo et al.
Instantaneous Perception of Moving Objects in 3D
Di Liu, Bingbing Zhuang, Dimitris N. Metaxas et al.
Et Tu Certifications: Robustness Certificates Yield Better Adversarial Examples
Andrew C. Cullen, Shijie Liu, Paul Montague et al.
Enhancing Plausibility Evaluation for Generated Designs with Denoising Autoencoder
Jiajie Fan, Amal Trigui, Thomas Bäck et al.
iNeMo: Incremental Neural Mesh Models for Robust Class-Incremental Learning
Tom Fischer, Yaoyao Liu, Artur Jesslen et al.
PTUS: Photo-Realistic Talking Upper-Body Synthesis via 3D-Aware Motion Decomposition
Luoyang Lin, Zutao Jiang, Xiaodan Liang et al.
Disentanglement Learning via Topology
Nikita Balabin, Daria Voronkova, Ilya Trofimov et al.
Weakly-Supervised 3D Hand Reconstruction with Knowledge Prior and Uncertainty Guidance
Yufei Zhang, Jeffrey Kephart, Qiang Ji
Sketch2Vox: Learning 3D Reconstruction from a Single Monocular Sketch Image
Fei Wang
GMM-IKRS: Gaussian Mixture Models for Interpretable Keypoint Refinement and Scoring
Emanuele Santellani, Martin Zach, Christian Sormann et al.
Class-Attribute Priors: Adapting Optimization to Heterogeneity and Fairness Objective
Xuechen Zhang, Mingchen Li, Jiasi Chen et al.
Reconstruction-free Cascaded Adaptive Compressive Sensing
Chenxi Qiu, Tao Yue, Xuemei Hu
Imaging with Confidence: Uncertainty Quantification for High-dimensional Undersampled MR Images
Frederik Hoppe, Claudio Mayrink Verdun, Hannah Sophie Laus et al.
Degrees of Freedom Matter: Inferring Dynamics from Point Trajectories
Yan Zhang, Sergey Prokudin, Marko Mihajlovic et al.
Provably Neural Active Learning Succeeds via Prioritizing Perplexing Samples
Dake Bu, Wei Huang, Taiji Suzuki et al.
Convergence and Trade-Offs in Riemannian Gradient Descent and Riemannian Proximal Point
David Martínez-Rubio, Christophe Roux, Sebastian Pokutta
Weighting Pseudo-Labels via High-Activation Feature Index Similarity and Object Detection for Semi-Supervised Segmentation
Prantik Howlader, Hieu Le, Dimitris Samaras
Hypergraph-Guided Disentangled Spectrum Transformer Networks for Near-Infrared Facial Expression Recognition
Bingjun Luo, Haowen Wang, Jinpeng Wang et al.
Deep Fusion: Efficient Network Training via Pre-trained Initializations
Hanna Mazzawi, Xavi Gonzalvo, Michael Wunder et al.
Unveiling Advanced Frequency Disentanglement Paradigm for Low-Light Image Enhancement
Kun Zhou, Xinyu Lin, Wenbo Li et al.
Hardness of Random Reordered Encodings of Parity for Resolution and CDCL
Leroy Chew, Alexis de Colnet, Friedrich Slivovsky et al.
Progressive Fourier Neural Representation for Sequential Video Compilation
Haeyong Kang, Jaehong Yoon, DaHyun Kim et al.
Rethinking Directional Parameterization in Neural Implicit Surface Reconstruction
Zijie Jiang, Tianhan Xu, Hiroharu Kato
Towards Robust Learning to Optimize with Theoretical Guarantees
Qingyu Song, Wei Lin, Juncheng Wang et al.
Previously on ... From Recaps to Story Summarization
Aditya Kumar Singh, Dhruv Srivastava, Makarand Tapaswi
Causal Discovery via Conditional Independence Testing with Proxy Variables
Mingzhou Liu, Xinwei Sun, YU QIAO et al.
PairNet: Training with Observed Pairs to Estimate Individual Treatment Effect
Lokesh Nagalapatti, Pranava Singhal, Avishek Ghosh et al.
Floating Anchor Diffusion Model for Multi-motif Scaffolding
Ke Liu, Weian Mao, Shuaike Shen et al.
LRSLAM: Low-rank Representation of Signed Distance Fields in Dense Visual SLAM System
Hongbeen Park, Minjeong Park, Giljoo Nam et al.
Continuity Preserving Online CenterLine Graph Learning
Yunhui Han, Kun Yu, Zhiwei Li
Towards Stability and Generalization Bounds in Decentralized Minibatch Stochastic Gradient Descent
Jiahuan Wang, Hong Chen
Robust Model-Based Optimization for Challenging Fitness Landscapes
Saba Ghaffari, Ehsan Saleh, Alex Schwing et al.
EvDiG: Event-guided Direct and Global Components Separation
xinyu zhou, Peiqi Duan, Boyu Li et al.
UNIKD: UNcertainty-Filtered Incremental Knowledge Distillation for Neural Implicit Representation
Mengqi GUO, Chen Li, Hanlin Chen et al.
Batch Normalization Is Blind to the First and Second Derivatives of the Loss
Zhanpeng Zhou, Wen Shen, Huixin Chen et al.
Selective Interpretable and Motion Consistent Privacy Attribute Obfuscation for Action Recognition
Filip Ilic, He Zhao, Thomas Pock et al.
Efficient Mixture Learning in Black-Box Variational Inference
Alexandra Hotti, Oskar Kviman, Ricky Molén et al.
DIDI: Diffusion-Guided Diversity for Offline Behavioral Generation
Jinxin Liu, Xinghong Guo, Zifeng Zhuang et al.
Indirectly Parameterized Concrete Autoencoders
Alfred Nilsson, Klas Wijk, Sai bharath chandra Gutha et al.
Unveiling the Dynamics of Information Interplay in Supervised Learning
Kun Song, Zhiquan Tan, Bochao Zou et al.
On the Expressivity of Objective-Specification Formalisms in Reinforcement Learning
Rohan Subramani, Marcus Williams, Max Heitmann et al.
Monte Carlo Tree Search in the Presence of Transition Uncertainty
Farnaz Kohankhaki, Kiarash Aghakasiri, Hongming Zhang et al.
Out-Of-Domain Unlabeled Data Improves Generalization
seyed amir hossein saberi, Amir Najafi, Alireza Heidari et al.
SG-NeRF: Neural Surface Reconstruction with Scene Graph Optimization
Yiyang Chen, Siyan Dong, Xulong Wang et al.
Learning to Stabilize Online Reinforcement Learning in Unbounded State Spaces
Brahma Pavse, Matthew Zurek, Yudong Chen et al.
Graph Automorphism Group Equivariant Neural Networks
Edward Pearce-Crump, William J. Knottenbelt
On Inference Stability for Diffusion Models
Viet Nguyen, Giang Vu, Tung Nguyen Thanh et al.
Dynamic Data Selection for Efficient SSL via Coarse-to-Fine Refinement
Aditay Tripathi, Pradeep Shenoy, Anirban Chakraborty
Human Pose Recognition via Occlusion-Preserving Abstract Images
Saad Manzur, Wayne B Hayes
A Single-Loop Robust Policy Gradient Method for Robust Markov Decision Processes
Zhenwei Lin, Chenyu Xue, Qi Deng et al.
Weakly Supervised Virus Capsid Detection with Image-Level Annotations in Electron Microscopy Images
Hannah Kniesel, Leon Sick, Tristan Payer et al.
SNP: Structured Neuron-level Pruning to Preserve Attention Scores
Kyunghwan Shim, Jaewoong Yun, Shinkook Choi
Boosting Gaze Object Prediction via Pixel-level Supervision from Vision Foundation Model
Yang Jin, Lei Zhang, Shi Yan et al.
CK12: A Rounded K12 Knowledge Graph Based Benchmark for Chinese Holistic Cognition
Weihao You, Pengcheng Wang, Changlong Li et al.
Zero-shot Text-guided Infinite Image Synthesis with LLM guidance
Soyeong Kwon, TAEGYEONG LEE, Taehwan Kim
Distribution-Aware Robust Learning from Long-Tailed Data with Noisy Labels
Jae Soon Baik, In Young Yoon, Kun Hoon Kim et al.
Biharmonic Distance of Graphs and its Higher-Order Variants: Theoretical Properties with Applications to Centrality and Clustering
Mitchell Black, Lucy Lin, Weng-Keen Wong et al.
Integrated Hardware Architecture and Device Placement Search
Irene Wang, Jakub Tarnawski, Amar Phanishayee et al.
Scene-Conditional 3D Object Stylization and Composition
Jinghao Zhou, Tomas Jakab, Philip Torr et al.
Image Background Serves as Good Proxy for Out-of-distribution Data
Sen Pei
Optimistic Model Rollouts for Pessimistic Offline Policy Optimization
Yuanzhao Zhai, Yiying Li, Zijian Gao et al.
KG-TREAT: Pre-training for Treatment Effect Estimation by Synergizing Patient Data with Knowledge Graphs
Ruoqi Liu, Lingfei Wu, Ping Zhang
Probability Distribution of Hypervolume Improvement in Bi-objective Bayesian Optimization
Hao Wang, Kaifeng Yang, Michael Affenzeller
Similarity of Neural Architectures using Adversarial Attack Transferability
Jaehui Hwang, Dongyoon Han, Byeongho Heo et al.
M3C: A Framework towards Convergent, Flexible, and Unsupervised Learning of Mixture Graph Matching and Clustering
Jiaxin Lu, Zetian Jiang, Tianzhe Wang et al.
GAMMA-FACE: GAussian Mixture Models Amend Diffusion Models for Bias Mitigation in Face Images
Basudha Pal, Arunkumar Kannan, Ram Prabhakar Kathirvel et al.
Symbolic Numeric Planning with Patterns
Matteo Cardellini, E. Giunchiglia, M. Maratea
Generalized Neural Sorting Networks with Error-Free Differentiable Swap Functions
Jungtaek Kim, Jeongbeen Yoon, Minsu Cho
Harnessing Neural Unit Dynamics for Effective and Scalable Class-Incremental Learning
Depeng Li, Tianqi Wang, Junwei Chen et al.
Bounding the Excess Risk for Linear Models Trained on Marginal-Preserving, Differentially-Private, Synthetic Data
Yvonne Zhou, Mingyu Liang, Ivan Brugere et al.
Fast Sprite Decomposition from Animated Graphics
Tomoyuki Suzuki, Kotaro Kikuchi, Kota Yamaguchi
Naive Bayes Classifiers over Missing Data: Decision and Poisoning
Song Bian, Xiating Ouyang, ZHIWEI FAN et al.
Data Poisoning Quantization Backdoor Attack
Tran Huynh, Anh Tran, Khoa Doan et al.
R3DS: Reality-linked 3D Scenes for Panoramic Scene Understanding
Qirui Wu, Sonia Raychaudhuri, Daniel Ritchie et al.
Quality-Diversity with Limited Resources
Ren-Jian Wang, Ke Xue, Cong Guan et al.
ReTaSA: A Nonparametric Functional Estimation Approach for Addressing Continuous Target Shift
Hwanwoo Kim, Xin Zhang, Jiwei Zhao et al.
Sparse Refinement for Efficient High-Resolution Semantic Segmentation
Zhijian Liu, Zhuoyang Zhang, Samir Khaki et al.
Multi-Energy Guided Image Translation with Stochastic Differential Equations for Near-Infrared Facial Expression Recognition
13319 Bingjun Luo, Zewen Wang, Jinpeng Wang et al.
HOP to the Next Tasks and Domains for Continual Learning in NLP
Umberto Michieli, Mete Ozay
Select to Perfect: Imitating desired behavior from large multi-agent data
Tim Franzmeyer, Edith Elkind, Philip Torr et al.
Deep Polarization Cues for Single-shot Shape and Subsurface Scattering Estimation
chenhao li, Trung Thanh Ngo, Hajime Nagahara
A Differentiable Partially Observable Generalized Linear Model with Forward-Backward Message Passing
Chengrui Li, Weihan Li, Yule Wang et al.
Embarrassingly Parallel GFlowNets
Tiago Silva, Luiz Carvalho, Amauri Souza et al.
SCOD: From Heuristics to Theory
Vojtech Franc, Jakub Paplham, Daniel Prusa
Encapsulating Knowledge in One Prompt
Qi Li, Runpeng Yu, Xinchao Wang
IG Captioner: Information Gain Captioners are Strong Zero-shot Classifiers
Chenglin Yang, Siyuan Qiao, Yuan Cao et al.
Operator-Learning-Inspired Modeling of Neural Ordinary Differential Equations
Woojin Cho, Seunghyeon Cho, Hyundong Jin et al.
DFA-RAG: Conversational Semantic Router for Large Language Model with Definite Finite Automaton
Yiyou Sun, Junjie Hu, Wei Cheng et al.
Completing Visual Objects via Bridging Generation and Segmentation
Xiang Li, Yinpeng Chen, Chung-Ching Lin et al.
Learning Causal Domain-Invariant Temporal Dynamics for Few-Shot Action Recognition
Yuke Li, Guangyi Chen, Ben Abramowitz et al.
VETRA: A Dataset for Vehicle Tracking in Aerial Imagery - New Challenges for Multi-Object Tracking
Jens Hellekes, Manuel Mühlhaus, Reza Bahmanyar et al.
SAH-SCI: Self-Supervised Adapter for Efficient Hyperspectral Snapshot Compressive Imaging
Haijin Zeng, Yuxi Liu, Yongyong Chen et al.
Targeted Activation Penalties Help CNNs Ignore Spurious Signals
Dekai Zhang, Matt Williams, Francesca Toni
Referring Expression Counting
Siyang Dai, Jun Liu, Ngai-Man Cheung
Horizon-Free Regret for Linear Markov Decision Processes
Zihan Zhang, Jason Lee, Yuxin Chen et al.
Improving Instruction Following in Language Models through Proxy-Based Uncertainty Estimation
JoonHo Lee, Jae Oh Woo, Juree Seok et al.
Bridging the Pathology Domain Gap: Efficiently Adapting CLIP for Pathology Image Analysis with Limited Labeled Data
Zhengfeng Lai, Joohi Chauhan, Brittany N. Dugger et al.
Fourier Controller Networks for Real-Time Decision-Making in Embodied Learning
Hengkai Tan, LIU SONGMING, Kai Ma et al.
Discontinuity-preserving Normal Integration with Auxiliary Edges
Hyomin Kim, Yucheol Jung, Seungyong Lee
Shadow Cones: A Generalized Framework for Partial Order Embeddings
Tao Yu, Toni Liu, Albert Tseng et al.
ShapeBoost: Boosting Human Shape Estimation with Part-Based Parameterization and Clothing-Preserving Augmentation
Siyuan Bian, Jiefeng Li, Jiasheng Tang et al.
Structural Inference with Dynamics Encoding and Partial Correlation Coefficients
Aoran Wang, Jun Pang
CliffPhys: Camera-based Respiratory Measurement using Clifford Neural Networks
Omar Ghezzi, Giuseppe Boccignone, Giuliano Grossi et al.
Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network
Chenhao Zhang, WEI GAO
A Differentially Private Clustering Algorithm for Well-Clustered Graphs
Weiqiang He, Hendrik Fichtenberger, Pan Peng
Beating Price of Anarchy and Gradient Descent without Regret in Potential Games
Iosif Sakos, Stefanos Leonardos, Stelios Stavroulakis et al.
Instant Uncertainty Calibration of NeRFs Using a Meta-Calibrator
Niki Amini-Naieni, Tomas Jakab, Andrea Vedaldi et al.
Learning to Infer Generative Template Programs for Visual Concepts
R. Kenny Jones, Siddhartha Chaudhuri, Daniel Ritchie
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests
Somnath Basu Roy Chowdhury, Nicholas Monath, Ahmad Beirami et al.
UL-VIO: Ultra-lightweight Visual-Inertial Odometry with Noise Robust Test-time Adaptation
Jinho Park, Se Young Chun, Mingoo Seok
Collapse-Aware Triplet Decoupling for Adversarially Robust Image Retrieval
Qiwei Tian, Chenhao Lin, Zhengyu Zhao et al.
MOKD: Cross-domain Finetuning for Few-shot Classification via Maximizing Optimized Kernel Dependence
Hongduan Tian, Feng Liu, Tongliang Liu et al.
DALDet: Depth-Aware Learning Based Object Detection for Autonomous Driving
K. Hu, Tongbo Cao, Yuan Li et al.
Exploration by Optimization with Hybrid Regularizers: Logarithmic Regret with Adversarial Robustness in Partial Monitoring
Taira Tsuchiya, Shinji Ito, Junya Honda
Improving Antibody Humanness Prediction using Patent Data
Talip Ucar, Aubin Ramon, Dino Oglic et al.
Optimistic Policy Gradient in Multi-Player Markov Games with a Single Controller: Convergence beyond the Minty Property
I. Anagnostides, Ioannis Panageas, Gabriele Farina et al.
WALT3D: Generating Realistic Training Data from Time-Lapse Imagery for Reconstructing Dynamic Objects Under Occlusion
Khiem Vuong, N. Dinesh Reddy, Robert Tamburo et al.
PcLast: Discovering Plannable Continuous Latent States
ANURAG KOUL, Shivakanth Sujit, Shaoru Chen et al.
Full-Body Motion Reconstruction with Sparse Sensing from Graph Perspective
Feiyu Yao, Zongkai Wu, Li Yi
CAPE: CAM as a Probabilistic Ensemble for Enhanced DNN Interpretation
Townim Chowdhury, Kewen Liao, Vu Minh Hieu Phan et al.
Angle Robustness Unmanned Aerial Vehicle Navigation in GNSS-Denied Scenarios
Yuxin Wang, Zunlei Feng, Haofei Zhang et al.
When CEGAR Meets Regression: A Love Story in Optimal Classical Planning
Martín Pozo, Alvaro Torralba, Carlos Linares Lopez
Separating common from salient patterns with Contrastive Representation Learning
Robin Louiset, Edouard Duchesnay, Grigis Antoine et al.
Few-shot Hybrid Domain Adaptation of Image Generator
Hengjia Li, Yang Liu, Linxuan Xia et al.
Panacea: Panoramic and Controllable Video Generation for Autonomous Driving
Yuqing Wen, Yucheng Zhao, Yingfei Liu et al.
Manifold-Based Verbalizer Space Re-embedding for Tuning-Free Prompt-Based Classification
Haochun Wang, Sendong Zhao, Chi Liu et al.
Likelihood Training of Cascaded Diffusion Models via Hierarchical Volume-preserving Maps
Henry Li, Ronen Basri, Yuval Kluger
Towards Adaptive Pseudo-label Learning for Semi-Supervised Temporal Action Localization
Feixiang Zhou, Bryan M. Williams, Hossein Rahmani
Learning 3D-aware GANs from Unposed Images with Template Feature Field
XINYA CHEN, Hanlei Guo, Yanrui Bin et al.
SparseRadNet: Sparse Perception Neural Network on Subsampled Radar Data
Jialong Wu, Mirko Meuter, Markus Schoeler et al.
Rethinking Normalization Layers for Domain Generalizable Person Re-identification
Ren Nie, Jin Ding, Xue Zhou et al.
URS-NeRF: Unordered Rolling Shutter Bundle Adjustment for Neural Radiance Fields
Bo Xu, Liu Ziao, Mengqi GUO et al.
Detection-Based Intermediate Supervision for Visual Question Answering
Yuhang Liu, Daowan Peng, Wei Wei et al.
Polynomial-based Self-Attention for Table Representation Learning
Jayoung Kim, Yehjin Shin, Jeongwhan Choi et al.
Shifted Autoencoders for Point Annotation Restoration in Object Counting
Yuda Zou, Xin Xiao, Peilin Zhou et al.
Highway Value Iteration Networks
Yuhui Wang, Weida Li, Francesco Faccio et al.