Most Cited 2024 "asymmetric representation learning" Papers
12,324 papers found • Page 22 of 62
Conference
From Pixels to Objects: A Hierarchical Approach for Part and Object Segmentation Using Local and Global Aggregation
Yunfei Xie, Cihang Xie, Alan Yuille et al.
FAMOUS: High-Fidelity Monocular 3D Human Digitization Using View Synthesis
Vishnu Mani Hema, Shubhra Aich, Christian Haene et al.
Masked Distillation Advances Self-Supervised Transformer Architecture Search
Caixia Yan, Xiaojun Chang, Zhihui Li et al.
One Step Learning, One Step Review
Huang Xiaolong, Qiankun Li, Xueran Li et al.
FedVAD: Enhancing Federated Video Anomaly Detection with GPT-Driven Semantic Distillation
Fan Qi, Ruijie Pan, Huaiwen Zhang et al.
Learning from Aggregate responses: Instance Level versus Bag Level Loss Functions
Adel Javanmard, Lin Chen, Vahab Mirrokni et al.
Learning-Augmented Online Algorithm for Two-Level Ski-Rental Problem
Keyuan Zhang, Zhongdong Liu, Nakjung Choi et al.
Sample Efficient Myopic Exploration Through Multitask Reinforcement Learning with Diverse Tasks
Ziping Xu, Zifan Xu, Runxuan Jiang et al.
Non-monotone Sequential Submodular Maximization
Shaojie Tang, Jing Yuan
Enabling Lanuguage Models to Implicitly Learn Self-Improvement
Ziqi Wang, Le Hou, Tianjian Lu et al.
Photon Inhibition for Energy-Efficient Single-Photon Imaging
Lucas Koerner, Shantanu Gupta, Atul N Ingle et al.
Deep Online Probability Aggregation Clustering
Yuxuan Yan, Na Lu, Ruofan Yan
Active Learning Guided by Efficient Surrogate Learners
Yunpyo An, Suyeong Park, Kwang In Kim
On Inference Stability for Diffusion Models
Viet Nguyen, Giang Vu, Tung Nguyen Thanh et al.
MC-PanDA: Mask Confidence for Panoptic Domain Adaptation
Ivan Martinovic, Josip Šarić, Siniša Šegvić
Beyond Viewpoint: Robust 3D Object Recognition under Arbitrary Views through Joint Multi-Part Representation
Linlong Fan, Ye Huang, Yanqi Ge et al.
ArtVLM: Attribute Recognition Through Vision-Based Prefix Language Modeling
William Zhu, Keren Ye, Junjie Ke et al.
Cost Minimization for Equilibrium Transition
Haoqiang Huang, Zihe Wang, Zhide Wei et al.
Platypus: A Generalized Specialist Model for Reading Text in Various Forms
Peng Wang, Zhaohai Li, Jun Tang et al.
Pay to (Not) Play: Monetizing Impatience in Mobile Games
Taylor Lundy, Narun Raman, Hu Fu et al.
Neural Network Approximators for Marginal MAP in Probabilistic Circuits
Shivvrat Arya, Tahrima Rahman, Vibhav Gogate
Principled Architecture-aware Scaling of Hyperparameters
Wuyang Chen, Junru Wu, Zhangyang Wang et al.
Generative Quanta Color Imaging
Vishal Purohit, Junjie Luo, Yiheng Chi et al.
Diffusion Sampling with Momentum for Mitigating Divergence Artifacts
Suttisak Wisadwongsa, Worameth Chinchuthakun, Pramook Khungurn et al.
Coarse-to-Fine Implicit Representation Learning for 3D Hand-Object Reconstruction from a Single RGB-D Image
Xingyu Liu, Pengfei Ren, Jingyu Wang et al.
Learning to Count without Annotations
Lukas Knobel, Tengda Han, Yuki Asano
A Convolutional Neural Network Interpretable Framework for Human Ventral Visual Pathway Representation
Mufan Xue, Xinyu Wu, Jinlong Li et al.
Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively
Hao Jiang, Tien Mai, Pradeep Varakantham et al.
REDIR: Refocus-free Event-based De-occlusion Image Reconstruction
Qi Guo, Hailong Shi, Huan Li et al.
Unleashing Text-to-Image Diffusion Prior for Zero-Shot Image Captioning
Jianjie Luo, Jingwen Chen, Yehao Li et al.
Belief-Enriched Pessimistic Q-Learning against Adversarial State Perturbations
Xiaolin Sun, Zizhan Zheng
Span Graph Transformer for Document-Level Named Entity Recognition
Hongli Mao, Xian-Ling Mao, Hanlin Tang et al.
Minimal Macro-Based Rewritings of Formal Languages: Theory and Applications in Ontology Engineering (and Beyond)
Christian Kindermann, Anne-Marie George, Bijan Parsia et al.
Unified Local-Cloud Decision-Making via Reinforcement Learning
Kathakoli Sengupta, Zhongkai Shangguan, Sandesh Bharadwaj et al.
Any-Way Meta Learning
JunHoo Lee, Yearim Kim, Hyunho Lee et al.
Auditable Algorithms for Approximate Model Counting
S Akshay, Supratik Chakraborty, Kuldeep S Meel
CARFF: Conditional Auto-encoded Radiance Field for 3D Scene Forecasting
Jiezhi Yang, Khushi P Desai, Charles Packer et al.
FroSSL: Frobenius Norm Minimization for Efficient Multiview Self-Supervised Learning
Oscar Skean, Aayush Dhakal, Nathan Jacobs et al.
Distributed Semantic Segmentation with Efficient Joint Source and Task Decoding
Danish Nazir, Timo Bartels, Jan Piewek et al.
Levenshtein Distance Embedding with Poisson Regression for DNA Storage
Xiang Wei, Alan J.X. Guo, Sihan Sun et al.
SDPT: Synchronous Dual Prompt Tuning for Fusion-based Visual-Language Pre-trained Models
Yang Zhou, Yongjian Wu, Jiya Saiyin et al.
Learning Where to Look: Self-supervised Viewpoint Selection for Active Localization using Geometrical Information
Luca Di Giammarino, Boyang Sun, Giorgio Grisetti et al.
On the Expressivity of Recurrent Neural Cascades
Nadezda Knorozova, Alessandro Ronca
SparseRadNet: Sparse Perception Neural Network on Subsampled Radar Data
Jialong Wu, Mirko Meuter, Markus Schoeler et al.
What Does a Query Answer Tell You? Informativeness of Query Answers for Knowledge Bases
Luca Andolfi, Gianluca Cima, Marco Console et al.
DetailSemNet: Elevating Signature Verification through Detail-Semantic Integration
Meng-Cheng Shih, Tsai-Ling Huang, Yu-Heng Shih et al.
Learned Rate Control for Frame-Level Adaptive Neural Video Compression via Dynamic Neural Network
Chenhao Zhang, WEI GAO
Rethinking Video-Text Understanding: Retrieval from Counterfactually Augmented Data
Wufei Ma, Kai Li, Zhongshi Jiang et al.
SeiT++: Masked Token Modeling Improves Storage-efficient Training
Minhyun Lee, Song Park, Byeongho Heo et al.
Quantization-Friendly Winograd Transformations for Convolutional Neural Networks
Vladimir Protsenko, Vladimir Kryzhanovskiy, Alexander Filippov
Rethinking the Uniformity Metric in Self-Supervised Learning
Xianghong Fang, Jian Li, Qiang Sun et al.
Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis
Jie Qiao, Yu Xiang, Zhengming Chen et al.
DiffSurf: A Transformer-based Diffusion Model for Generating and Reconstructing 3D Surfaces in Pose
Yoshiyasu Yusuke, Leyuan Sun
SNP: Structured Neuron-level Pruning to Preserve Attention Scores
Kyunghwan Shim, Jaewoong Yun, Shinkook Choi
Greedy-Based Online Fair Allocation with Adversarial Input: Enabling Best-of-Many-Worlds Guarantees
Zongjun Yang, Luofeng Liao, Christian Kroer
RepAn: Enhanced Annealing through Re-parameterization
Xiang Fei, Xiawu Zheng, Yan Wang et al.
Formula-Supervised Visual-Geometric Pre-training
Ryosuke Yamada, Kensho Hara, Hirokatsu Kataoka et al.
Rethinking Robustness of Model Attributions
Sandesh Kamath, Sankalp Mittal, Amit Deshpande et al.
MetaAT: Active Testing for Label-Efficient Evaluation of Dense Recognition Tasks
Sanbao Su, Xin Li, Thang Doan et al.
Consistency-Guided Temperature Scaling Using Style and Content Information for Out-of-Domain Calibration
Wonjeong Choi, Jungwuk Park, Dong-Jun Han et al.
Universal Semi-Supervised Domain Adaptation by Mitigating Common-Class Bias
Wenyu Zhang, Qingmu Liu, Felix Ong et al.
SIMBA: Split Inference - Mechanisms, Benchmarks and Attacks
Abhishek Singh, Vivek Sharma, Rohan Sukumaran et al.
The Logic of Doxastic Strategies
Junli Jiang, Pavel Naumov
SpatialFormer: Towards Generalizable Vision Transformers with Explicit Spatial Understanding
Han Xiao, Wenzhao Zheng, Sicheng Zuo et al.
Weighting Pseudo-Labels via High-Activation Feature Index Similarity and Object Detection for Semi-Supervised Segmentation
Prantik Howlader, Hieu Le, Dimitris Samaras
NGP-RT: Fusing Multi-Level Hash Features with Lightweight Attention for Real-Time Novel View Synthesis
Yubin Hu, Xiaoyang Guo, Yang Xiao et al.
Enhanced Sparsification via Stimulative Training
Shengji Tang, Weihao Lin, Hancheng Ye et al.
CPN: Complementary Proposal Network for Unconstrained Text Detection
Longhuang Wu, Shangxuan Tian, Youxin Wang et al.
ComFusion: Enhancing Personalized Generation by Instance-Scene Compositing and Fusion
Yan Hong, Yuxuan Duan, Bo Zhang et al.
OP-Align: Object-level and Part-level Alignment for Self-supervised Category-level Articulated Object Pose Estimation
Yuchen Che, Ryo Furukawa, Asako Kanezaki
On Alternating-Time Temporal Logic, Hyperproperties, and Strategy Sharing
Raven Beutner, Bernd Finkbeiner
Region-Native Visual Tokenization
Mengyu Wang, Yuyao Huang, Henghui Ding et al.
Local Occupancy-Enhanced Object Grasping with Multiple Triplanar Projection
Kangqi Ma, Hao Dong, Yadong Mu
Online Video Quality Enhancement with Spatial-Temporal Look-up Tables
Zefan Qu, Xinyang Jiang, Yifan Yang et al.
ToNNO: Tomographic Reconstruction of a Neural Network’s Output for Weakly Supervised Segmentation of 3D Medical Images
Marius Schmidt-Mengin, Alexis Benichoux, Shibeshih Belachew et al.
Decomposition of Neural Discrete Representations for Large-Scale 3D Mapping
Minseong Park, Suhan Woo, Euntai Kim
Removing Rows and Columns of Tokens in Vision Transformer enables Faster Dense Prediction without Retraining
Diwei Su, cheng fei, Jianxu Luo
Effective Lymph Nodes Detection in CT Scans Using Location Debiased Query Selection and Contrastive Query Representation in Transformer
Qinji Yu, Yirui Wang, Ke Yan et al.
Ranking Distillation for Open-Ended Video Question Answering with Insufficient Labels
Tianming Liang, Chaolei Tan, Beihao Xia et al.
Learning Trimodal Relation for Audio-Visual Question Answering with Missing Modality
Kyu Ri Park, Hong Joo Lee, Jung Uk Kim
Pre-training Vision Models with Mandelbulb Variations
Benjamin N. Chiche, Yuto Horikawa, Ryo Fujita
MTaDCS: Moving Trace and Feature Density-based Confidence Sample Selection under Label Noise
Qingzheng Huang, Xilin He, Xiaole Xian et al.
Synthesizing Time-varying BRDFs via Latent Space
Takuto Narumoto, Hiroaki Santo, Fumio Okura
Theoretical and Empirical Analysis of Cost-Function Merging for Implicit Hitting Set WCSP Solving
Javier Larrosa, Conrado Martínez, Emma Rollon
Domain Invariant Learning for Gaussian Processes and Bayesian Exploration
Xilong Zhao, Siyuan Bian, Yaoyun Zhang et al.
A2XP: Towards Private Domain Generalization
Geunhyeok Yu, Hyoseok Hwang
Towards Better Vision-Inspired Vision-Language Models
Yun-Hao Cao, Kaixiang Ji, Ziyuan Huang et al.
Topology-Preserving Downsampling of Binary Images
Chia-Chia Chen, Chi-Han Peng
MaxMI: A Maximal Mutual Information Criterion for Manipulation Concept Discovery
Pei Zhou, Yanchao Yang
Adaptive Annealing for Robust Averaging
Sidhartha Chitturi, Venu Madhav Govindu
MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets
Peng Liao, Xilu Wang, Yaochu Jin et al.
Rotated Orthographic Projection for Self-Supervised 3D Human Pose Estimation
YAO YAO, Yixuan Pan, Wenjun Shi et al.
Stable Preference: Redefining training paradigm of human preference model for Text-to-Image Synthesis
Hanting Li, Hongjing Niu, Feng Zhao
Adversarial Robustification via Text-to-Image Diffusion Models
Daewon Choi, Jongheon Jeong, Huiwon Jang et al.
PAV: Personalized Head Avatar from Unstructured Video Collection
Akin Caliskan, Berkay Kicanaoglu, H K
Learning the Topology and Behavior of Discrete Dynamical Systems
Zirou Qiu, Abhijin Adiga, Madhav Marathe et al.
Monocular 3D Hand Mesh Recovery via Dual Noise Estimation
Hanhui Li, Xiaojian Lin, Xuan Huang et al.
Mining Supervision for Dynamic Regions in Self-Supervised Monocular Depth Estimation
Hoang Chuong Nguyen, Tianyu Wang, Jose M. Alvarez et al.
HORIZON: High-Resolution Semantically Controlled Panorama Synthesis
Kun Yan, Lei Ji, Jian Liang et al.
GTMS: A Gradient-driven Tree-guided Mask-free Referring Image Segmentation Method
Haoxin Lyu, Tianxiong Zhong, Sanyuan Zhao
Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors
Tao Lin, lijia Yu, Gaojie Jin et al.
MagicMirror: Fast and High-Quality Avatar Generation with Constrained Search Space
Armand Comas Massague, Di Qiu, Menglei Chai et al.
Frugal 3D Point Cloud Model Training via Progressive Near Point Filtering and Fused Aggregation
Donghyun Lee, Yejin Lee, Jae W. Lee et al.
When to Grow? A Fitting Risk-Aware Policy for Layer Growing in Deep Neural Networks
Haihang Wu, Wei Wang, Tamasha Malepathirana et al.
How to Trade Off the Quantity and Capacity of Teacher Ensemble: Learning Categorical Distribution to Stochastically Employ a Teacher for Distillation
Zixiang Ding, Guoqing Jiang, Shuai Zhang et al.
Confidence-Based Iterative Generation for Real-World Image Super-Resolution
Jialun Peng, Xin Luo, Jingjing Fu et al.
Discontinuity-preserving Normal Integration with Auxiliary Edges
Hyomin Kim, Yucheol Jung, Seungyong Lee
Observation-Guided Diffusion Probabilistic Models
Junoh Kang, Jinyoung Choi, Sungik Choi et al.
AACP: Aesthetics Assessment of Children’s Paintings Based on Self
Supervised Learning
Flowed Time of Flight Radiance Fields
Mikhail Okunev, Marc Mapeke, Benjamin Attal et al.
Stability of Multi-Agent Learning in Competitive Networks: Delaying the Onset of Chaos
Aamal Hussain, Francesco Belardinelli
LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration
Siqi Wang, Bryan Plummer
Coherence As Texture – Passive Textureless 3D Reconstruction by Self-interference
Wei-Yu Chen, Aswin C. Sankaranarayanan, Anat Levin et al.
Synchronization of Projective Transformations
Rakshith Madhavan, Andrea Fusiello, Federica Arrigoni
Towards Architecture-Agnostic Untrained Networks Priors for Image Reconstruction with Frequency Regularization
Yilin Liu, Yunkui Pang, Jiang Li et al.
LEROjD: Lidar Extended Radar-Only Object Detection
Patrick Palmer, Martin Krüger, Stefan Schütte et al.
A Rotation-invariant Texture ViT for Fine-Grained Recognition of Esophageal Cancer Endoscopic Ultrasound Images
Tianyi Liu, Shuaishuai S Zhuang, Jiacheng Nie et al.
Multi-Task Domain Adaptation for Language Grounding with 3D Objects
Penglei SUN, Yaoxian Song, Xinglin Pan et al.
Toward INT4 Fixed-Point Training via Exploring Quantization Error for Gradients
Dohyung Kim, Junghyup Lee, Jeimin Jeon et al.
Single-Photon 3D Imaging with Equi-Depth Photon Histograms
Kaustubh Sadekar, David Maier, Atul Ingle
VF-NeRF: Viewshed Fields for Rigid NeRF Registration
Leo Segre, Shai Avidan
Multi-RoI Human Mesh Recovery with Camera Consistency and Contrastive Losses
Yongwei Nie, Changzhen Liu, Chengjiang Long et al.
POA: Pre-training Once for Models of All Sizes
Yingying Zhang, Xin Guo, Jiangwei Lao et al.
ViG-Bias: Visually Grounded Bias Discovery and Mitigation
Badr-Eddine Marani, Mohamed HANINI, Nihitha Malayarukil et al.
OAT: Object-Level Attention Transformer for Gaze Scanpath Prediction
Yini Fang, Jingling Yu, Haozheng Zhang et al.
Learning-based Axial Video Motion Magnification
Kwon Byung-Ki, HYUNBIN OH, Kim Jun-Seong et al.
HardMo: A Large-Scale Hardcase Dataset for Motion Capture
Jiaqi Liao, Chuanchen Luo, Yinuo Du et al.
Adapting to Shifting Correlations with Unlabeled Data Calibration
Minh Nguyen, Alan Q Wang, Heejong Kim et al.
Adaptive Softassign via Hadamard-Equipped Sinkhorn
Binrui Shen, Qiang Niu, Shengxin Zhu
Multi-scale Cross Distillation for Object Detection in Aerial Images
Kun Wang, Zi Wang, Zhang Li et al.
Residual Learning in Diffusion Models
Junyu Zhang, Daochang Liu, Eunbyung Park et al.
MaRINeR: Enhancing Novel Views by Matching Rendered Images with Nearby References
Lukas Bösiger, Mihai Dusmanu, Marc Pollefeys et al.
Do Generalised Classifiers really work on Human Drawn Sketches?
Hmrishav Bandyopadhyay, Pinaki Nath Chowdhury, Aneeshan Sain et al.
COSMU: Complete 3D human shape from monocular unconstrained images
Marco Pesavento, Marco Volino, Adrian Hilton
HashPoint: Accelerated Point Searching and Sampling for Neural Rendering
Jiahao Ma, Miaomiao Liu, David Ahmedt-Aristizabal et al.
From Variance to Veracity: Unbundling and Mitigating Gradient Variance in Differentiable Bundle Adjustment Layers
Swaminathan Gurumurthy, Karnik Ram, Bingqing Chen et al.
RoofDiffusion: Constructing Roofs from Severely Corrupted Point Data via Diffusion
Kyle Lo, Jorg Peters, Eric Spellman
LineFit: A Geometric Approach for Fitting Line Segments in Images
Marion BOYER, David Youssefi, Florent Lafarge
Natural Strategic Ability in Stochastic Multi-Agent Systems
Raphaël Berthon, J. Katoen, Munyque Mittelmann et al.
Latent Intuitive Physics: Learning to Transfer Hidden Physics from A 3D Video
Xiangming Zhu, Huayu Deng, Haochen Yuan et al.
ToonerGAN: Reinforcing GANs for Obfuscating Automated Facial Indexing
Kartik Thakral, Shashikant Prasad, Stuti Aswani et al.
Interactive 3D Object Detection with Prompts
Ruifei Zhang, Xiangru Lin, Wei Zhang et al.
QCS-SGM+: Improved Quantized Compressed Sensing with Score-Based Generative Models
Xiangming Meng, Yoshiyuki Kabashima
Sync from the Sea: Retrieving Alignable Videos from Large-Scale Datasets
Ishan Rajendrakumar Dave, Fabian Caba, Shah Mubarak et al.
Reconciling Predictive and Statistical Parity: A Causal Approach
Drago Plecko, Elias Bareinboim
PosDiffNet: Positional Neural Diffusion for Point Cloud Registration in a Large Field of View with Perturbations
Rui She, Sijie Wang, Qiyu Kang et al.
Task Planning for Object Rearrangement in Multi-Room Environments
Karan Mirakhor, Sourav Ghosh, Dipanjan Das et al.
Coreference Graph Guidance for Mind-Map Generation
Zhuowei Zhang, Mengting Hu, Yinhao Bai et al.
PNeSM: Arbitrary 3D Scene Stylization via Prompt-Based Neural Style Mapping
Jiafu Chen, Wei Xing, Jiakai Sun et al.
Finite-Time Frequentist Regret Bounds of Multi-Agent Thompson Sampling on Sparse Hypergraphs
Tianyuan Jin, Hao-Lun Hsu, William Chang et al.
Double Auction on Diffusion Network
Miao Li, Yuhan Cao, Dengji Zhao
Global-to-Pixel Regression for Human Mesh Recovery
Yabo Xiao, MINGSHU HE, Dongdong Yu
Single-Mask Inpainting for Voxel-based Neural Radiance Fields
Jiafu Chen, Tianyi Chu, Jiakai Sun et al.
Text Diffusion with Reinforced Conditioning
Yuxuan Liu, Tianchi Yang, Shaohan Huang et al.
Efficient Cascaded Multiscale Adaptive Network for Image Restoration
Yichen Zhou, Pan Zhou, Teck Khim Ng
CGS-Mask: Making Time Series Predictions Intuitive for All
Feng Lu, Wei Li, Yifei Sun et al.
Optimal Makespan in a Minute Timespan! A Scalable Multi-Robot Goal Assignment Algorithm for Minimizing Mission Time
Aakash, Indranil Saha
GSO-Net: Grid Surface Optimization via Learning Geometric Constraints
Chaoyun Wang, Jingmin Xin, Nanning Zheng et al.
Optimistic Value Instructors for Cooperative Multi-Agent Reinforcement Learning
Chao Li, Yupeng Zhang, Jianqi Wang et al.
AUC Optimization from Multiple Unlabeled Datasets
Zheng Xie, Yu Liu, Ming Li
An Approximate Skolem Function Counter
Arijit Shaw, Brendan Juba, Kuldeep S Meel
UNIKD: UNcertainty-Filtered Incremental Knowledge Distillation for Neural Implicit Representation
Mengqi GUO, Chen Li, Hanlin Chen et al.
CORECODE: A Common Sense Annotated Dialogue Dataset with Benchmark Tasks for Chinese Large Language Models
Dan Shi, Chaobin You, Jian-Tao Huang et al.
Enhance Sketch Recognition’s Explainability via Semantic Component-Level Parsing
Guangming Zhu, Siyuan Wang, Tianci Wu et al.
Mediator Interpretation and Faster Learning Algorithms for Linear Correlated Equilibria in General Sequential Games
Brian Zhang, Gabriele Farina, Tuomas Sandholm
DeepBranchTracer: A Generally-Applicable Approach to Curvilinear Structure Reconstruction Using Multi-Feature Learning
Chao Liu, Ting Zhao, Nenggan Zheng
Bayesian Bi-clustering of Neural Spiking Activity with Latent Structures
Ganchao Wei
NfgTransformer: Equivariant Representation Learning for Normal-form Games
SIQI LIU, Luke Marris, Georgios Piliouras et al.
Operationalizing Essential Characteristics of Creativity in a Computational System for Music Composition
Paul Bodily, Dan Ventura
GRAPE: Generalizable and Robust Multi-view Facial Capture
Jing Li, Di Kang, Zhenyu He
Beyond the Data Imbalance: Employing the Heterogeneous Datasets for Vehicle Maneuver Prediction
Hyeongseok Jeon, Sanmin Kim, Abi Rahman Syamil et al.
BugNIST - a Large Volumetric Dataset for Detection under Domain Shift
Patrick Jensen, Vedrana Dahl, Rebecca Engberg et al.
INFORMEDQX: Informed Conflict Detection for Over-Constrained Problems
Viet-Man Le, Alexander Felfernig, Thi Ngoc Trang Tran et al.
Transferable 3D Adversarial Shape Completion using Diffusion Models
Xuelong Dai, Bin Xiao
MetaAug: Meta-Data Augmentation for Post-Training Quantization
Cuong Pham, Hoang Anh Dung, Cuong Cao Nguyen et al.
Stripe Observation Guided Inference Cost-free Attention Mechanism
Zhongzhan Huang, Shanshan Zhong, Wushao Wen et al.
An Information Theoretical View for Out-Of-Distribution Detection
Jinjing Hu, Wenrui Liu, Hong Chang et al.
Percentile Risk-Constrained Budget Pacing for Guaranteed Display Advertising in Online Optimization
Liang Dai, Kejie Lyu, Chengcheng Zhang et al.
Distractor-Free Novel View Synthesis via Exploiting Memorization Effect in Optimization
Yukun Wang, Kunhong Li, Minglin Chen et al.
Eliciting Kemeny Rankings
Anne-Marie George, Christos Dimitrakakis
Dependency-aware Differentiable Neural Architecture Search
Buang Zhang, Xinle Wu, Hao Miao et al.
Selective Mixup Fine-Tuning for Optimizing Non-Decomposable Objectives
Shrinivas Ramasubramanian, Harsh Rangwani, Sho Takemori et al.
Image-Feature Weak-to-Strong Consistency: An Enhanced Paradigm for Semi-Supervised Learning
Zhiyu Wu, Jin shi Cui
Refine, Discriminate and Align: Stealing Encoders via Sample-Wise Prototypes and Multi-Relational Extraction
Shuchi Wu, Chuan Ma, Kang Wei et al.
Leveraging scale- and orientation-covariant features for planar motion estimation
Marcus Valtonen Örnhag, Alberto Jaenal
Resolving Scale Ambiguity in Multi-view 3D Reconstruction using Dual-Pixel Sensors
Kohei Ashida, Hiroaki Santo, Fumio Okura et al.
Achieving Sample and Computational Efficient Reinforcement Learning by Action Space Reduction via Grouping
Yining Li, Peizhong Ju, Ness Shroff
Face Reconstruction Transfer Attack as Out-of-Distribution Generalization
Yoon Gyo Jung, Jaewoo Park, Xingbo Dong et al.
Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks
Hung Quang Nguyen, Yingjie Lao, Tung Pham et al.
Jointly Modeling Spatio-Temporal Features of Tactile Signals for Action Classification
Jimmy Lin, Junkai Li, Jiasi Gao et al.
Neural Gaussian Similarity Modeling for Differential Graph Structure Learning
Xiaolong Fan, Maoguo Gong, Yue Wu et al.
Discerning Temporal Difference Learning
Jianfei Ma
Rethinking and Extending the Probabilistic Inference Capacity of GNNs
Tuo Xu, Lei Zou
10725 SAT-Based Tree Decomposition with Iterative Cascading Policy Selection
Hai Xia, Stefan Szeider
UniVoxel: Fast Inverse Rendering by Unified Voxelization of Scene Representation
Shuang Wu, Songlin Tang, Guangming Lu et al.
Cooperative Knowledge Distillation: A Learner Agnostic Approach
Michael Livanos, Ian Davidson, Stephen Wong
Leveraging Uncertainty Estimates To Improve Classifier Performance
Gundeep Arora, Srujana Merugu, Anoop Saladi et al.
An Optimal Control View of LoRA and Binary Controller Design for Vision Transformers
CHI Zhang, Jingpu Cheng, Qianxiao Li
LEAD: Min-Max Optimization from a Physical Perspective
Guillaume Lajoie, Amartya Mitra, Reyhane Askari Hemmat et al.
GroundUp: Rapid Sketch-Based 3D City Massing
Gizem Esra Unlu, Mohamed Sayed, Yulia Gryaditskaya et al.