Most Cited 2024 "backtracking" Papers
12,324 papers found • Page 38 of 62
Conference
Catch-Up Mix: Catch-Up Class for Struggling Filters in CNN
Minsoo Kang, Minkoo Kang, Suhyun Kim
Frugal LMs Trained to Invoke Symbolic Solvers Achieve Parameter-Efficient Arithmetic Reasoning
Subhabrata Dutta, Ishan Pandey, Joykirat Singh et al.
Faithful and Efficient Explanations for Neural Networks via Neural Tangent Kernel Surrogate Models
Andrew Engel, Zhichao Wang, Natalie Frank et al.
WaveNet: Tackling Non-stationary Graph Signals via Graph Spectral Wavelets
Zhirui Yang, Yulan Hu, Sheng Ouyang et al.
Complete Neural Networks for Complete Euclidean Graphs
Snir Hordan, Tal Amir, Nadav Dym et al.
Neural Fine-Tuning Search for Few-Shot Learning
Panagiotis Eustratiadis, Łukasz Dudziak, Da Li et al.
SkyScenes: A Synthetic Dataset for Aerial Scene Understanding
Sahil Santosh Khose, Anisha Pal, Aayushi Agarwal et al.
Cross-domain Open-world Discovery
Shuo Wen, Maria Brbic
Implicit Gaussian process representation of vector fields over arbitrary latent manifolds
Robert Peach, Matteo Vinao-Carl, Nir Grossman et al.
SuperPrimitive: Scene Reconstruction at a Primitive Level
Kirill Mazur, Gwangbin Bae, Andrew J. Davison
AETTA: Label-Free Accuracy Estimation for Test-Time Adaptation
Taeckyung Lee, Sorn Chottananurak, Taesik Gong et al.
Two-timescale Extragradient for Finding Local Minimax Points
Jiseok Chae, Kyuwon Kim, Donghwan Kim
Efficient Algorithms for Empirical Group Distributionally Robust Optimization and Beyond
Dingzhi Yu, Yunuo Cai, Wei Jiang et al.
Confidence Self-Calibration for Multi-Label Class-Incremental Learning
Kaile Du, Yifan Zhou, Fan Lyu et al.
Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants
Wei Chen, Zhiyi Huang, Ruichu Cai et al.
Fine-Grained Multi-View Hand Reconstruction Using Inverse Rendering
Qijun Gan, Wentong Li, Jinwei Ren et al.
Single-Model Attribution of Generative Models Through Final-Layer Inversion
Mike Laszkiewicz, Jonas Ricker, Johannes Lederer et al.
Few-Shot Unsupervised Implicit Neural Shape Representation Learning with Spatial Adversaries
Amine Ouasfi, Adnane Boukhayma
Diffeomorphic Template Registration for Atmospheric Turbulence Mitigation
Dong Lao, Congli Wang, Alex Wong et al.
MCSSME: Multi-Task Contrastive Learning for Semi-supervised Singing Melody Extraction from Polyphonic Music
Shuai Yu
Unsupervised Pan-Sharpening via Mutually Guided Detail Restoration
Huangxing Lin, Yuhang Dong, Xinghao Ding et al.
Understanding Stochastic Natural Gradient Variational Inference
Kaiwen Wu, Jacob Gardner
Enhancing Transfer Learning with Flexible Nonparametric Posterior Sampling
Hyungi Lee, Giung Nam, Edwin Fong et al.
Elegantly Written: Disentangling Writer and Character Styles for Enhancing Online Chinese Handwriting
Yu Liu, Fatimah binti Khalid, Lei Wang et al.
MICap: A Unified Model for Identity-Aware Movie Descriptions
Haran Raajesh, Naveen Reddy Desanur, Zeeshan Khan et al.
Intriguing Properties of Diffusion Models: An Empirical Study of the Natural Attack Capability in Text-to-Image Generative Models
Takami Sato, Justin Yue, Nanze Chen et al.
Implicit Motion Function
Yue Gao, Jiahao Li, Lei Chu et al.
Gaussian Plane-Wave Neural Operator for Electron Density Estimation
Seongsu Kim, Sungsoo Ahn
Accelerate Multi-Agent Reinforcement Learning in Zero-Sum Games with Subgame Curriculum Learning
Jiayu Chen, Zelai Xu, Yunfei Li et al.
Target Networks and Over-parameterization Stabilize Off-policy Bootstrapping with Function Approximation
Fengdi Che, Chenjun Xiao, Jincheng Mei et al.
Domain Generalization of 3D Object Detection by Density-Resampling
Shuangzhi Li, Lei Ma, Xingyu Li
Anchoring Path for Inductive Relation Prediction in Knowledge Graphs
Zhixiang Su, Di Wang, Chunyan Miao 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.
ILILT: Implicit Learning of Inverse Lithography Technologies
Haoyu Yang, Mark Ren
No More Ambiguity in 360° Room Layout via Bi-Layout Estimation
Yu-Ju Tsai, Jin-Cheng Jhang, JINGJING ZHENG et al.
On the Robustness of Neural-Enhanced Video Streaming against Adversarial Attacks
Qihua Zhou, Jingcai Guo, Song Guo et al.
Generative Model-Based Feature Knowledge Distillation for Action Recognition
Guiqin Wang, Peng Zhao, Yanjiang Shi et al.
Prospective Side Information for Latent MDPs
Jeongyeol Kwon, Yonathan Efroni, Shie Mannor et al.
Hard Regularization to Prevent Deep Online Clustering Collapse without Data Augmentation
Louis Mahon, Thomas Lukasiewicz
Weight Conditioning for Smooth Optimization of Neural Networks
Hemanth Saratchandran, Thomas X Wang, Simon Lucey
Makeup Prior Models for 3D Facial Makeup Estimation and Applications
Xingchao Yang, Takafumi Taketomi, Yuki Endo et al.
Fun with Flags: Robust Principal Directions via Flag Manifolds
Tolga Birdal, Nathan Mankovich
Token Compensator: Altering Inference Cost of Vision Transformer without Re-Tuning
Shibo Jie, Yehui Tang, Jianyuan Guo et al.
BeyondScene: Higher-Resolution Human-Centric Scene Generation With Pretrained Diffusion
Gwanghyun Kim, Hayeon Kim, Hoigi Seo et al.
Simultaneous identification of models and parameters of scientific simulators
Cornelius Schröder, Jakob Macke
Conditional Normalizing Flows for Active Learning of Coarse-Grained Molecular Representations
Henrik Schopmans, Pascal Friederich
H-ensemble: An Information Theoretic Approach to Reliable Few-Shot Multi-Source-Free Transfer
Yanru Wu, Jianning Wang, Weida Wang et al.
Domain-Aware Fine-Tuning: Enhancing Neural Network Adaptability
Seokhyeon Ha, Sunbeom Jeong, Jungwoo Lee
Understanding and Diagnosing Deep Reinforcement Learning
Ezgi Korkmaz
Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making
Parand A. Alamdari, Toryn Q. Klassen, Elliot Creager et al.
Relaxed Quantile Regression: Prediction Intervals for Asymmetric Noise
Thomas Pouplin, Alan Jeffares, Nabeel Seedat et al.
Dependency Structure-Enhanced Graph Attention Networks for Event Detection
Qizhi Wan, Changxuan wan, Keli Xiao et al.
Shedding More Light on Robust Classifiers under the lens of Energy-based Models
Mujtaba Hussain Mirza, Maria Rosaria Briglia, Senad Beadini et al.
Scaling Supervised Local Learning with Augmented Auxiliary Networks
Chenxiang Ma, Jibin Wu, Chenyang Si et al.
Dissolving Is Amplifying: Towards Fine-Grained Anomaly Detection
Jian Shi, Pengyi Zhang, Ni Zhang et al.
Learning Small Decision Trees with Few Outliers: A Parameterized Perspective
Harmender Gahlawat, Meirav Zehavi
Learn the Force We Can: Enabling Sparse Motion Control in Multi-Object Video Generation
Aram Davtyan, Paolo Favaro
Longitudinal Targeted Minimum Loss-based Estimation with Temporal-Difference Heterogeneous Transformer
Toru Shirakawa, Yi Li, Yulun Wu et al.
Appearance-based Refinement for Object-Centric Motion Segmentation
Junyu Xie, Weidi Xie, Andrew ZISSERMAN
Pushing Boundaries: Mixup's Influence on Neural Collapse
Quinn Fisher, Haoming Meng, Vardan Papyan
Mitigating Label Noise on Graphs via Topological Sample Selection
Yuhao Wu, Jiangchao Yao, Xiaobo Xia et al.
Task-Conditioned Adaptation of Visual Features in Multi-Task Policy Learning
Pierre Marza, Laetitia Matignon, Olivier Simonin et al.
Synergy of Sight and Semantics: Visual Intention Understanding with CLIP
Qu Yang, Mang Ye, Dacheng Tao
Imagine, Initialize, and Explore: An Effective Exploration Method in Multi-Agent Reinforcement Learning
Zeyang Liu, Lipeng Wan, Xinrui Yang et al.
A Generative Approach for Wikipedia-Scale Visual Entity Recognition
Mathilde Caron, Ahmet Iscen, Alireza Fathi et al.
Improving Generalization via Meta-Learning on Hard Samples
Nishant Jain, Arun Suggala, Pradeep Shenoy
CLIPtone: Unsupervised Learning for Text-based Image Tone Adjustment
Hyeongmin Lee, Kyoungkook Kang, Jungseul Ok et al.
Dealing With Unbounded Gradients in Stochastic Saddle-point Optimization
Gergely Neu, Nneka Okolo
Differentially Private Representation Learning via Image Captioning
Tom Sander, Yaodong Yu, Maziar Sanjabi et al.
Elucidating the Hierarchical Nature of Behavior with Masked Autoencoders
Lucas Stoffl, Andy Bonnetto, Stéphane D'Ascoli et al.
Efficient Stitchable Task Adaptation
Haoyu He, Zizheng Pan, Jing Liu et al.
Entropy-MCMC: Sampling from Flat Basins with Ease
Bolian Li, Ruqi Zhang
Liberating Seen Classes: Boosting Few-Shot and Zero-Shot Text Classification via Anchor
Han Liu, Siyang Zhao, Xiaotong Zhang 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.
Dealing with Numeric and Metric Time Constraints in PDDL3 via Compilation to Numeric Planning
Luigi Bonassi, Alfonso Emilio Gerevini, Enrico Scala
Frontier-enhanced Topological Memory with Improved Exploration Awareness for Embodied Visual Navigation
Xinru Cui, Qiming Liu, Zhe Liu et al.
Universal Gradient Methods for Stochastic Convex Optimization
Anton Rodomanov, Ali Kavis, Yongtao Wu et al.
Structural Information Guided Multimodal Pre-training for Vehicle-Centric Perception
Xiao Wang, Wentao Wu, Chenglong Li et al.
Alt-Text with Context: Improving Accessibility for Images on Twitter
Nikita Srivatsan, Sofia Samaniego, Omar Florez et al.
Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features
Thalles Silva, Helio Pedrini, Adín Ramírez Rivera
Adaptive Human Trajectory Prediction via Latent Corridors
Neerja Thakkar, Karttikeya Mangalam, Andrea Bajcsy et al.
Multi-View Attentive Contextualization for Multi-View 3D Object Detection
Xianpeng Liu, Ce Zheng, Ming Qian et al.
KITRO: Refining Human Mesh by 2D Clues and Kinematic-tree Rotation
Fengyuan Yang, Kerui Gu, Angela Yao
Momentum Auxiliary Network for Supervised Local Learning
Junhao Su, Changpeng Cai, Feiyu Zhu et al.
L-MAGIC: Language Model Assisted Generation of Images with Coherence
zhipeng cai, Matthias Mueller, Reiner Birkl et al.
External Knowledge Enhanced 3D Scene Generation from Sketch
Zijie Wu, Mingtao Feng, Yaonan Wang et al.
Agglomerative Token Clustering
Joakim Bruslund Haurum, Sergio Escalera, Graham W. Taylor et al.
ConVQG: Contrastive Visual Question Generation with Multimodal Guidance
Li Mi, Syrielle Montariol, Javiera Castillo Navarro et al.
Neural Amortized Inference for Nested Multi-Agent Reasoning
Kunal Jha, Tuan Anh Le, Chuanyang Jin et al.
Physics-Aware Hand-Object Interaction Denoising
Haowen Luo, Yunze Liu, Li Yi
Unsupervised Extractive Summarization with Learnable Length Control Strategies
Renlong Jie, Xiaojun Meng, Xin Jiang et al.
ReLUs Are Sufficient for Learning Implicit Neural Representations
Joseph Shenouda, Yamin Zhou, Robert Nowak
Pose-Aware Self-Supervised Learning with Viewpoint Trajectory Regularization
Jiayun Wang, Yubei Chen, Stella Yu
Explaining Kernel Clustering via Decision Trees
Maximilian Fleissner, Leena Chennuru Vankadara, Debarghya Ghoshdastidar
Unveiling the Unknown: Unleashing the Power of Unknown to Known in Open-Set Source-Free Domain Adaptation
Fuli Wan, Han Zhao, Xu Yang et al.
Dual-Enhanced Coreset Selection with Class-wise Collaboration for Online Blurry Class Incremental Learning
Yutian Luo, Shiqi Zhao, Haoran Wu et al.
Combining Frame and GOP Embeddings for Neural Video Representation
Jens Eirik Saethre, Roberto Azevedo, Christopher Schroers
Tractable Probabilistic Graph Representation Learning with Graph-Induced Sum-Product Networks
Federico Errica, Mathias Niepert
Predictive Coding beyond Correlations
Tommaso Salvatori, Luca Pinchetti, Amine M'Charrak et al.
LMT-GP: Combined Latent Mean-Teacher and Gaussian Process for Semi-supervised Low-light Image Enhancement
Ye Yu, Fengxin Chen, Jun Yu et al.
LiDAR-Event Stereo Fusion with Hallucinations
Luca Bartolomei, Matteo Poggi, Andrea Conti et al.
Learning to Rank Patches for Unbiased Image Redundancy Reduction
Yang Luo, Zhineng Chen, Peng Zhou et al.
DEVIAS: Learning Disentangled Video Representations of Action and Scene
Kyungho Bae, Youngrae Kim, Geo Ahn et al.
Finding Interpretable Class-Specific Patterns through Efficient Neural Search
Nils Philipp Walter, Jonas Fischer, Jilles Vreeken
Finding NeMo: Negative-mined Mosaic Augmentation for Referring Image Segmentation
Seongsu Ha, Chaeyun Kim, Donghwa Kim et al.
Linear-Time Verification of Data-Aware Processes Modulo Theories via Covers and Automata
Alessandro Gianola, Marco Montali, Sarah Winkler
RRL: Recommendation Reverse Learning
Xiaoyu You, Jianwei Xu, Mi Zhang et al.
Multi-Level Cross-Modal Alignment for Image Clustering
Liping Qiu, Qin Zhang, Xiaojun Chen et al.
Bi-directional Contextual Attention for 3D Dense Captioning
Minjung Kim, Hyung Suk Lim, Soonyoung Lee et al.
Expressivity of ReLU-Networks under Convex Relaxations
Maximilian Baader, Mark N Müller, Yuhao Mao et al.
Scalable Group Choreography via Variational Phase Manifold Learning
Nhat Le, Khoa Do, Xuan Bui et al.
Dynamic Survival Analysis with Controlled Latent States
Linus Bleistein, Van NGUYEN, Adeline Fermanian et al.
Density-guided Translator Boosts Synthetic-to-Real Unsupervised Domain Adaptive Segmentation of 3D Point Clouds
Zhimin Yuan, Wankang Zeng, Yanfei Su et al.
Layer-Aware Analysis of Catastrophic Overfitting: Revealing the Pseudo-Robust Shortcut Dependency
Runqi Lin, Chaojian Yu, Bo Han et al.
Probability-Polarized Optimal Transport for Unsupervised Domain Adaptation
Yan Wang, Chuan-Xian Ren, Yi-Ming Zhai et al.
Text-to-Sticker: Style Tailoring Latent Diffusion Models for Human Expression
Animesh Sinha, Bo Sun, Anmol Kalia et al.
DHR: Dual Features-Driven Hierarchical Rebalancing in Inter- and Intra-Class Regions for Weakly-Supervised Semantic Segmentation
Sanghyun Jo, Fei Pan, In-Jae Yu et al.
Fixed Point Diffusion Models
Luke Melas-Kyriazi, Xingjian Bai
Alice Benchmarks: Connecting Real World Re-Identification with the Synthetic
Xiaoxiao Sun, Yue Yao, Shengjin Wang et al.
High-Quality Mesh Blendshape Generation from Face Videos via Neural Inverse Rendering
Xin Ming, Jiawei Li, Jingwang Ling et al.
Procedural Level Generation with Diffusion Models from a Single Example
Shiqi Dai, Xuanyu Zhu, Naiqi Li et al.
Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and Beyond
Thanh Vu, Baochen Sun, Bodi Yuan et al.
Multi-Session SLAM with Differentiable Wide-Baseline Pose Optimization
Lahav Lipson, Jia Deng
Augmented Neural Fine-tuning for Efficient Backdoor Purification
Md Nazmul Karim, Abdullah Al Arafat, Umar Khalid et al.
Embodied Active Defense: Leveraging Recurrent Feedback to Counter Adversarial Patches
Lingxuan Wu, Xiao Yang, Yinpeng Dong et al.
Multi-Modality Affinity Inference for Weakly Supervised 3D Semantic Segmentation
Xiawei Li, Qingyuan Xu, Jing Zhang et al.
Generating Pragmatic Examples to Train Neural Program Synthesizers
Saujas Vaduguru, Daniel Fried, Yewen Pu
Lost Domain Generalization Is a Natural Consequence of Lack of Training Domains
Yimu Wang, Yihan Wu, Hongyang Zhang
Reconciling Spatial and Temporal Abstractions for Goal Representation
Mehdi Zadem, Sergio Mover, Sao Mai Nguyen
MADA: Meta-Adaptive Optimizers Through Hyper-Gradient Descent
Kaan Ozkara, Can Karakus, Parameswaran Raman et al.
Meta-Evolve: Continuous Robot Evolution for One-to-many Policy Transfer
Xingyu Liu, Deepak Pathak, DING ZHAO
Towards Open-World Object-based Anomaly Detection via Self-Supervised Outlier Synthesis
Brian Isaac Medina, Yona Falinie Abdul Gaus, Neelanjan Bhowmik et al.
Geometry Fidelity for Spherical Images
Anders Christensen, Nooshin Mojab, Khushman Patel et al.
From Graphs to Hypergraphs: Hypergraph Projection and its Reconstruction
Yanbang Wang, Jon Kleinberg
Twice Class Bias Correction for Imbalanced Semi
supervised Learning
Koopman-based generalization bound: New aspect for full-rank weights
Yuka Hashimoto, Sho Sonoda, Isao Ishikawa et al.
A Unified Experiment Design Approach for Cyclic and Acyclic Causal Models
Ehsan Mokhtarian, Saber Salehkaleybar, AmirEmad Ghassami et al.
Towards Understanding the Word Sensitivity of Attention Layers: A Study via Random Features
Simone Bombari, Marco Mondelli
Constructing Concept-based Models to Mitigate Spurious Correlations with Minimal Human Effort
Jeeyung Kim, Ze Wang, Qiang Qiu
Sample-efficient Learning of Infinite-horizon Average-reward MDPs with General Function Approximation
Jianliang He, Han Zhong, Zhuoran Yang
Dynamic Budget Throttling in Repeated Second-Price Auctions
Zhaohua Chen, Chang Wang, Qian Wang et al.
Learning Optimal Deterministic Policies with Stochastic Policy Gradients
Alessandro Montenegro, Marco Mussi, Alberto Maria Metelli et al.
A Mutual Information Perspective on Federated Contrastive Learning
Christos Louizos, Matthias Reisser, Denis Korzhenkov
UVAGaze: Unsupervised 1-to-2 Views Adaptation for Gaze Estimation
Ruicong Liu, Feng Lu
Occlusion-Aware Seamless Segmentation
Yihong Cao, Jiaming Zhang, Hao Shi et al.
Sparse Views Near Light: A Practical Paradigm for Uncalibrated Point-light Photometric Stereo
Mohammed Brahimi, Bjoern Haefner, Zhenzhang Ye et al.
Error Norm Truncation: Robust Training in the Presence of Data Noise for Text Generation Models
Tianjian Li, Haoran Xu, Philipp Koehn et al.
Adversarial Imitation Learning via Boosting
Jonathan Chang, Dhruv Sreenivas, Yingbing Huang et al.
PaintHuman: Towards High-Fidelity Text-to-3D Human Texturing via Denoised Score Distillation
Jianhui Yu, Hao Zhu, Liming Jiang et al.
LLMCO4MR: LLMs-aided Neural Combinatorial Optimization for Ancient Manuscript Restoration from Fragments with Case Studies on Dunhuang
Yuqing Zhang, Hangqi Li, Shengyu Zhang et al.
Regulating AI: Applying Insights from Behavioural Economics and Psychology to the Application of Article 5 of the EU AI Act
Huixin Zhong, Eamonn O'Neill, Janina Hoffmann
Understanding when Dynamics-Invariant Data Augmentations Benefit Model-free Reinforcement Learning Updates
Nicholas Corrado, Josiah Hanna
Merging and Splitting Diffusion Paths for Semantically Coherent Panoramas
Fabio Quattrini, Vittorio Pippi, Silvia Cascianelli et al.
Error Feedback Reloaded: From Quadratic to Arithmetic Mean of Smoothness Constants
Peter Richtarik, Elnur Gasanov, Konstantin Burlachenko
ModuLoRA: Finetuning 2-Bit LLMs on Consumer GPUs by Integrating with Modular Quantizers
Junjie Oscar Yin, Yingheng Wang, Volodymyr Kuleshov et al.
Keep the Momentum: Conservation Laws beyond Euclidean Gradient Flows
Sibylle Marcotte, Rémi Gribonval, Gabriel Peyré
Robustness-Guided Image Synthesis for Data-Free Quantization
Jianhong Bai, Yuchen Yang, Huanpeng Chu et al.
TREE-G: Decision Trees Contesting Graph Neural Networks
Maya Bechler-Speicher, Amir Globerson, Ran Gilad-Bachrach
VisFocus: Prompt-Guided Vision Encoders for OCR-Free Dense Document Understanding
Ofir Abramovich, Niv Nayman, Sharon Fogel et al.
Statistically Optimal $K$-means Clustering via Nonnegative Low-rank Semidefinite Programming
Yubo Zhuang, Xiaohui Chen, Yun Yang et al.
Task-aligned Part-aware Panoptic Segmentation through Joint Object-Part Representations
Daan de Geus, Gijs Dubbelman
Neighboring Perturbations of Knowledge Editing on Large Language Models
Jun-Yu Ma, Zhen-Hua Ling, Ningyu Zhang et al.
GigaHumanDet: Exploring Full-Body Detection on Gigapixel-Level Images
Chenglong Liu, Haoran Wei, Jinze Yang et al.
Augmenting Transformers with Recursively Composed Multi-grained Representations
Xiang Hu, Qingyang Zhu, Kewei Tu et al.
Fully Geometric Panoramic Localization
Junho Kim, Jiwon Jeong, Young Min Kim
TurboSVM-FL: Boosting Federated Learning through SVM Aggregation for Lazy Clients
Mengdi Wang, Anna Bodonhelyi, Efe Bozkir et al.
Don't be so Negative! Score-based Generative Modeling with Oracle-assisted Guidance
Saeid Naderiparizi, Xiaoxuan Liang, Setareh Cohan et al.
Out-of-Variable Generalisation for Discriminative Models
Siyuan Guo, Jonas Wildberger, Bernhard Schoelkopf
Fast and unified path gradient estimators for normalizing flows
Lorenz Vaitl, Ludwig Winkler, Lorenz Richter et al.
Parameter-Efficient and Memory-Efficient Tuning for Vision Transformer: A Disentangled Approach
Taolin Zhang, Jiawang Bai, Zhihe Lu et al.
Representing Molecules as Random Walks Over Interpretable Grammars
Michael Sun, Minghao Guo, Weize Yuan et al.
OpticalDR: A Deep Optical Imaging Model for Privacy-Protective Depression Recognition
Yuchen Pan, Junjun Jiang, Kui Jiang et al.
Optimization without Retraction on the Random Generalized Stiefel Manifold
Simon Vary, Pierre Ablin, Bin Gao et al.
CMA: A Chromaticity Map Adapter for Robust Detection of Screen-Recapture Document Images
Changsheng Chen, Liangwei Lin, Yongqi Chen et al.
Weak-to-Strong Compositional Learning from Generative Models for Language-based Object Detection
Kwanyong Park, Kuniaki Saito, Donghyun Kim
GenQ: Quantization in Low Data Regimes with Generative Synthetic Data
YUHANG LI, Youngeun Kim, Donghyun Lee et al.
A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint Prediction
Wenshuo Chao, Zhaopeng Qiu, Likang Wu et al.
Joint-Task Regularization for Partially Labeled Multi-Task Learning
Kento Nishi, Junsik Kim, Wanhua Li et al.
3D-Aware Face Editing via Warping-Guided Latent Direction Learning
Yuhao Cheng, Zhuo Chen, Xingyu Ren et al.
Robustness of Nonlinear Representation Learning
Simon Buchholz, Bernhard Schölkopf
Stochastic positional embeddings improve masked image modeling
Amir Bar, Florian Bordes, Assaf Shocher et al.
Error Feedback Can Accurately Compress Preconditioners
Ionut-Vlad Modoranu, Aleksei Kalinov, Eldar Kurtic et al.
E3M: Zero-Shot Spatio-Temporal Video Grounding with Expectation-Maximization Multimodal Modulation
Peijun Bao, Zihao Shao, Wenhan Yang et al.
FastCAD: Real-Time CAD Retrieval and Alignment from Scans and Videos
Florian Langer, Jihong Ju, Georgi Dikov et al.
Bayesian Exploration of Pre-trained Models for Low-shot Image Classification
Yibo Miao, Yu lei, Feng Zhou et al.
Data-Efficient Molecular Generation with Hierarchical Textual Inversion
Seojin Kim, Jaehyun Nam, Sihyun Yu et al.
Rethinking LiDAR Domain Generalization: Single Source as Multiple Density Domains
Jaeyeul Kim, Jungwan Woo, Jeonghoon Kim et al.
ALERT-Transformer: Bridging Asynchronous and Synchronous Machine Learning for Real-Time Event-based Spatio-Temporal Data
Carmen Martin-Turrero, Maxence Bouvier, Manuel Breitenstein et al.
HyperSDFusion: Bridging Hierarchical Structures in Language and Geometry for Enhanced 3D Text2Shape Generation
Zhiying Leng, Tolga Birdal, Xiaohui Liang et al.
Flexible Depth Completion for Sparse and Varying Point Densities
Jinhyung Park, Yu-Jhe Li, Kris Kitani
SPIN: Hierarchical Segmentation with Subpart Granularity in Natural Images
josh myers-dean, Jarek T Reynolds, Brian Price et al.
CPR-Coach: Recognizing Composite Error Actions based on Single-class Training
Shunli Wang, Shuaibing Wang, Dingkang Yang et al.
Learning to Play Atari in a World of Tokens
Pranav Agarwal, Sheldon Andrews, Samira Ebrahimi Kahou
AlignDiff: Aligning Diffusion Models for General Few-Shot Segmentation
Ri-Zhao Qiu, Yu-Xiong Wang, Kris Hauser
CNC-Net: Self-Supervised Learning for CNC Machining Operations
Mohsen Yavartanoo, Sangmin Hong, Reyhaneh Neshatavar et al.
GLID: Pre-training a Generalist Encoder-Decoder Vision Model
Jihao Liu, Jinliang Zheng, Yu Liu et al.
A Linear Time and Space Local Point Cloud Geometry Encoder via Vectorized Kernel Mixture (VecKM)
Dehao Yuan, Cornelia Fermuller, Tahseen Rabbani et al.
Learning from Integral Losses in Physics Informed Neural Networks
Ehsan Saleh, Saba Ghaffari, Timothy Bretl et al.
Dispersed Structured Light for Hyperspectral 3D Imaging
Suhyun Shin, Seokjun Choi, Felix Heide et al.
Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training
Qian Li, Yuxiao Hu, Yinpeng Dong et al.