Most Cited 2024 "randomized data structures" Papers

Efficient NeRF Optimization - Not All Samples Remain Equally Hard

Juuso Korhonen, Goutham Rangu, Hamed Rezazadegan Tavakoli et al.

Attribute Based Interpretable Evaluation Metrics for Generative Models

Dongkyun Kim, Mingi Kwon, Youngjung Uh

Unveiling the Significance of Toddler-Inspired Reward Transition in Goal-Oriented Reinforcement Learning

Junseok Park, Yoonsung Kim, Hee bin Yoo et al.

Interactive 3D Object Detection with Prompts

Ruifei Zhang, Xiangru Lin, Wei Zhang et al.

Online Sensitivity Optimization in Differentially Private Learning

8623 Filippo Galli, Catuscia Palamidessi, Tommaso Cucinotta

Efficient 3D-Aware Facial Image Editing via Attribute-Specific Prompt Learning

Amandeep Kumar, Muhammad Awais, Sanath Narayan et al.

One Step Learning, One Step Review

Huang Xiaolong, Qiankun Li, Xueran Li et al.

Pre-training Vision Models with Mandelbulb Variations

Benjamin N. Chiche, Yuto Horikawa, Ryo Fujita

CIC-BART-SSA: : Controllable Image Captioning with Structured Semantic Augmentation

Kalliopi Basioti, Mohamed A Abdelsalam, Federico Fancellu et al.

FOSI: Hybrid First and Second Order Optimization

Hadar Sivan, Moshe Gabel, Assaf Schuster

MS$^3$D: A RG Flow-Based Regularization for GAN Training with Limited Data

Jian Wang, Xin Lan, Yuxin Tian et al.

Any-Way Meta Learning

JunHoo Lee, Yearim Kim, Hyunho Lee et al.

Sequence Compression Speeds Up Credit Assignment in Reinforcement Learning

Aditya A. Ramesh, Kenny Young, Louis Kirsch et al.

SUP-NeRF: A Streamlined Unification of Pose Estimation and NeRF for Monocular 3D Object Reconstruction

Yuliang Guo, Abhinav Kumar, Cheng Zhao et al.

Levenshtein Distance Embedding with Poisson Regression for DNA Storage

Xiang Wei, Alan J.X. Guo, Sihan Sun et al.

GTMS: A Gradient-driven Tree-guided Mask-free Referring Image Segmentation Method

Haoxin Lyu, Tianxiong Zhong, Sanyuan Zhao

Incentivized Truthful Communication for Federated Bandits

Zhepei Wei, Chuanhao Li, Tianze Ren et al.

Out-of-Bounding-Box Triggers: A Stealthy Approach to Cheat Object Detectors

Tao Lin, lijia Yu, Gaojie Jin et al.

Learning Decision Policies with Instrumental Variables through Double Machine Learning

Bill Daqian Shao, Ashkan Soleymani, Francesco Quinzan et al.

SPARO: Selective Attention for Robust and Compositional Transformer Encodings for Vision

Ankit Vani, Bac Nguyen, Samuel Lavoie 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.

FairViT: Fair Vision Transformer via Adaptive Masking

Bowei Tian, Ruijie Du, Yanning Shen

Adaptive Softassign via Hadamard-Equipped Sinkhorn

Binrui Shen, Qiang Niu, Shengxin Zhu

Confidence-Based Iterative Generation for Real-World Image Super-Resolution

Jialun Peng, Xin Luo, Jingjing Fu et al.

Generalization of Scaled Deep ResNets in the Mean-Field Regime

Yihang Chen, Fanghui Liu, Yiping Lu et al.

NeSyFOLD: A Framework for Interpretable Image Classification

Parth Padalkar, Huaduo Wang, Gopal Gupta

Global-to-Pixel Regression for Human Mesh Recovery

Yabo Xiao, MINGSHU HE, Dongdong Yu

Cost Minimization for Equilibrium Transition

Haoqiang Huang, Zihe Wang, Zhide Wei et al.

MetaAT: Active Testing for Label-Efficient Evaluation of Dense Recognition Tasks

Sanbao Su, Xin Li, Thang Doan et al.

Rich-Observation Reinforcement Learning with Continuous Latent Dynamics

Yuda Song, Lili Wu, Dylan Foster et al.

Towards Model-Agnostic Dataset Condensation by Heterogeneous Models

Jun-Yeong Moon, Jung Uk Kim, Gyeong-Moon Park

Evolving Subnetwork Training for Large Language Models

hanqi li, Lu Chen, Da Ma et al.

Stabilizing Backpropagation Through Time to Learn Complex Physics

Patrick Schnell, Nils Thuerey

Minimal Macro-Based Rewritings of Formal Languages: Theory and Applications in Ontology Engineering (and Beyond)

Christian Kindermann, Anne-Marie George, Bijan Parsia et al.

An Effective Dynamic Gradient Calibration Method for Continual Learning

Weichen Lin, Jiaxiang Chen, Ruomin Huang et al.

COSMU: Complete 3D human shape from monocular unconstrained images

Marco Pesavento, Marco Volino, Adrian Hilton

Sync from the Sea: Retrieving Alignable Videos from Large-Scale Datasets

Ishan Rajendrakumar Dave, Fabian Caba, Shah Mubarak et al.

Alignist: CAD-Informed Orientation Distribution Estimation by Fusing Shape and Correspondences

Shishir Reddy Vutukur, Junwen Huang, Rasmus Laurvig Haugaard et al.

Span Graph Transformer for Document-Level Named Entity Recognition

Hongli Mao, Xian-Ling Mao, Hanlin Tang et al.

DiffSurf: A Transformer-based Diffusion Model for Generating and Reconstructing 3D Surfaces in Pose

Yoshiyasu Yusuke, Leyuan Sun

Robustly Improving Bandit Algorithms with Confounded and Selection Biased Offline Data: A Causal Approach

Wen Huang, Xintao Wu

HardMo: A Large-Scale Hardcase Dataset for Motion Capture

Jiaqi Liao, Chuanchen Luo, Yinuo Du et al.

Towards Better Vision-Inspired Vision-Language Models

Yun-Hao Cao, Kaixiang Ji, Ziyuan Huang et al.

AACP: Aesthetics Assessment of Children’s Paintings Based on Self

Supervised Learning

CLOAF: CoLlisiOn-Aware Human Flow

Andrey Davydov, Martin Engilberge, Mathieu Salzmann et al.

Communication-Efficient Collaborative Regret Minimization in Multi-Armed Bandits

Nikolai Karpov, Qin Zhang

MorpheuS: Neural Dynamic 360° Surface Reconstruction from Monocular RGB-D Video

Hengyi Wang, Jingwen Wang, Lourdes Agapito

Fixed-Budget Differentially Private Best Arm Identification

Zhirui Chen, P. N. Karthik, Yeow Meng Chee et al.

Deciphering RNA Secondary Structure Prediction: A Probabilistic K-Rook Matching Perspective

Cheng Tan, Zhangyang Gao, Hanqun CAO et al.

Synthesizing Time-varying BRDFs via Latent Space

Takuto Narumoto, Hiroaki Santo, Fumio Okura

Multi-RoI Human Mesh Recovery with Camera Consistency and Contrastive Losses

Yongwei Nie, Changzhen Liu, Chengjiang Long et al.

SIMBA: Split Inference - Mechanisms, Benchmarks and Attacks

Abhishek Singh, Vivek Sharma, Rohan Sukumaran et al.

ArtVLM: Attribute Recognition Through Vision-Based Prefix Language Modeling

William Zhu, Keren Ye, Junjie Ke et al.

LineFit: A Geometric Approach for Fitting Line Segments in Images

Marion BOYER, David Youssefi, Florent Lafarge

Fast-ELECTRA for Efficient Pre-training

Chengyu Dong, Liyuan Liu, Hao Cheng et al.

Pausing Policy Learning in Non-stationary Reinforcement Learning

Hyunin Lee, Ming Jin, Javad Lavaei et al.

An Approximate Skolem Function Counter

Arijit Shaw, Brendan Juba, Kuldeep S Meel

Privileged Prior Information Distillation for Image Matting

Cheng Lyu, Jiake Xie, Bo Xu et al.

SpatialFormer: Towards Generalizable Vision Transformers with Explicit Spatial Understanding

Han Xiao, Wenzhao Zheng, Sicheng Zuo et al.

What Does a Query Answer Tell You? Informativeness of Query Answers for Knowledge Bases

Luca Andolfi, Gianluca Cima, Marco Console et al.

DEPICT: Diffusion-Enabled Permutation Importance for Image Classification Tasks

Sarah Jabbour, Gregory Kondas, Ella Kazerooni et al.

Jointly Modeling Spatio-Temporal Features of Tactile Signals for Action Classification

Jimmy Lin, Junkai Li, Jiasi Gao et al.

Progressive Painterly Image Harmonization from Low-Level Styles to High-Level Styles

A Statistical Framework for Data-dependent Retrieval-Augmented Models

Soumya Basu, Ankit Singh Rawat, Manzil Zaheer

Depth-guided NeRF Training via Earth Mover’s Distance

Anita Rau, Josiah Aklilu, Floyd C Holsinger et al.

On the Consistency of Kernel Methods with Dependent Observations

Pierre-François Massiani, Sebastian Trimpe, Friedrich Solowjow

Exploiting Discrepancy in Feature Statistic for Out-of-Distribution Detection

Xiaoyuan Guan, Jiankang Chen, Shenshen Bu et al.

Adaptive Retrieval and Scalable Indexing for k-NN Search with Cross-Encoders

Nishant Yadav, Nicholas Monath, Manzil Zaheer et al.

Enhanced Sparsification via Stimulative Training

Shengji Tang, Weihao Lin, Hancheng Ye et al.

Learning Coalition Structures with Games

Compact Optimality Verification for Optimization Proxies

Wenbo Chen, Haoruo Zhao, Mathieu Tanneau et al.

Communication-Efficient Federated Non-Linear Bandit Optimization

Chuanhao Li, Chong Liu, Yu-Xiang Wang

InfoNorm: Mutual Information Shaping of Normals for Sparse-View Reconstruction

Xulong Wang, Siyan Dong, Youyi Zheng 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.

Single-Photon 3D Imaging with Equi-Depth Photon Histograms

Kaustubh Sadekar, David Maier, Atul Ingle

Reflective Policy Optimization

Yaozhong Gan, yan renye, zhe wu et al.

Bootstrapping Fisher Market Equilibrium and First-Price Pacing Equilibrium

Luofeng Liao, Christian Kroer

On The Statistical Complexity of Offline Decision-Making

Thanh Nguyen-Tang, Raman Arora

Open-Vocabulary Video Relation Extraction

Reward Penalties on Augmented States for Solving Richly Constrained RL Effectively

Hao Jiang, Tien Mai, Pradeep Varakantham et al.

Toward INT4 Fixed-Point Training via Exploring Quantization Error for Gradients

Dohyung Kim, Junghyup Lee, Jeimin Jeon et al.

Leveraging Diffusion Perturbations for Measuring Fairness in Computer Vision

A Tensor Decomposition Perspective on Second-order RNNs

Maude Lizaire, Michael Rizvi-Martel, Marawan Gamal et al.

AUC Optimization from Multiple Unlabeled Datasets

Zheng Xie, Yu Liu, Ming Li

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.

Do Generalised Classifiers really work on Human Drawn Sketches?

Hmrishav Bandyopadhyay, Pinaki Nath Chowdhury, Aneeshan Sain et al.

MonoTTA: Fully Test-Time Adaptation for Monocular 3D Object Detection

Hongbin Lin, Yifan Zhang, SHUAICHENG NIU et al.

Trustworthy Actionable Perturbations

Jesse Friedbaum, Sudarshan Adiga, Ravi Tandon

O$n$ Learning Deep O($n$)-Equivariant Hyperspheres

Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck et al.

ComFusion: Enhancing Personalized Generation by Instance-Scene Compositing and Fusion

Yan Hong, Yuxuan Duan, Bo Zhang et al.

Statistically Optimal Generative Modeling with Maximum Deviation from the Empirical Distribution

Elen Vardanyan, Sona Hunanyan, Tigran Galstyan et al.

Flowed Time of Flight Radiance Fields

Mikhail Okunev, Marc Mapeke, Benjamin Attal et al.

Ranking Distillation for Open-Ended Video Question Answering with Insufficient Labels

Tianming Liang, Chaolei Tan, Beihao Xia et al.

DynaVol: Unsupervised Learning for Dynamic Scenes through Object-Centric Voxelization

Yanpeng Zhao, Siyu Gao, Yunbo Wang et al.

MuLTI: Efficient Video-and-Language Understanding with Text-Guided MultiWay-Sampler and Multiple Choice Modeling

Jiaqi Xu, Bo Liu, Yunkuo Chen et al.

Knowledge-Aware Neuron Interpretation for Scene Classification

Yong Guan, Freddy Lecue, Jiaoyan Chen et al.

TAPE: Leveraging Agent Topology for Cooperative Multi-Agent Policy Gradient

Xingzhou Lou, Junge Zhang, Timothy Norman et al.

FAFA: Frequency-Aware Flow-Aided Self-Supervision for Underwater Object Pose Estimation

Jingyi Tang, Gu Wang, Zeyu Chen et al.

TVE: Learning Meta-attribution for Transferable Vision Explainer

Guanchu (Gary) Wang, Yu-Neng Chuang, Fan Yang et al.

GSO-Net: Grid Surface Optimization via Learning Geometric Constraints

Chaoyun Wang, Jingmin Xin, Nanning Zheng et al.

Optimal Kernel Quantile Learning with Random Features

Caixing Wang, Xingdong Feng

Optimal Sketching for Residual Error Estimation for Matrix and Vector Norms

Yi Li, Honghao Lin, David Woodruff

A Unified Linear Programming Framework for Offline Reward Learning from Human Demonstrations and Feedback

Kihyun Kim, Jiawei Zhang, Asuman Ozdaglar et al.

Fine-grained Dynamic Network for Generic Event Boundary Detection

Ziwei Zheng, Lijun He, Le Yang et al.

LNL+K: Enhancing Learning with Noisy Labels Through Noise Source Knowledge Integration

Siqi Wang, Bryan Plummer

Cascading Reinforcement Learning

Yihan Du, R. Srikant, Wei Chen

MALIBO: Meta-learning for Likelihood-free Bayesian Optimization

Jiarong Pan, Stefan Falkner, Felix Berkenkamp et al.

Total Variation Floodgate for Variable Importance Inference in Classification

Wenshuo Wang, Lucas Janson, Lihua Lei et al.

Improving Sample Efficiency of Model-Free Algorithms for Zero-Sum Markov Games

Songtao Feng, Ming Yin, Yu-Xiang Wang 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

Optimal Makespan in a Minute Timespan! A Scalable Multi-Robot Goal Assignment Algorithm for Minimizing Mission Time

Aakash, Indranil Saha

NetInfoF Framework: Measuring and Exploiting Network Usable Information

Meng-Chieh Lee, Haiyang Yu, Jian Zhang et al.

OAPT: Offset-Aware Partition Transformer for Double JPEG Artifacts Removal

Qiao Mo, Yukang Ding, Jinhua Hao et al.

Greedy-Based Online Fair Allocation with Adversarial Input: Enabling Best-of-Many-Worlds Guarantees

Zongjun Yang, Luofeng Liao, Christian Kroer

A Contextual Combinatorial Bandit Approach to Negotiation

Yexin Li, Zhancun Mu, Siyuan Qi

Sample-Efficiency in Multi-Batch Reinforcement Learning: The Need for Dimension-Dependent Adaptivity

Emmeran Johnson, Ciara Pike-Burke, Patrick Rebeschini

Demystifying SGD with Doubly Stochastic Gradients

Kyurae Kim, Joohwan Ko, Yian Ma et al.

Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples

Shreyas Havaldar, Jatin Chauhan, Karthikeyan Shanmugam et al.

Optimal Exact Recovery in Semi-Supervised Learning: A Study of Spectral Methods and Graph Convolutional Networks

Haixiao Wang, Zhichao Wang

A Convolutional Neural Network Interpretable Framework for Human Ventral Visual Pathway Representation

Mufan Xue, Xinyu Wu, Jinlong Li et al.

Bidirectional Temporal Diffusion Model for Temporally Consistent Human Animation

Tserendorj Adiya, Jae Shin Yoon, Jung Eun Lee et al.

RepAn: Enhanced Annealing through Re-parameterization

Xiang Fei, Xiawu Zheng, Yan Wang et al.

Prospector Heads: Generalized Feature Attribution for Large Models & Data

Gautam Machiraju, Alexander Derry, Arjun Desai et al.

Align With Purpose: Optimize Desired Properties in CTC Models with a General Plug-and-Play Framework

Eliya Segev, Maya Alroy, Ronen Katsir et al.

VP-SAM: Taming Segment Anything Model for Video Polyp Segmentation via Disentanglement and Spatio-temporal Side Network

Zhixue Fang, Yuzhi Liu, Huisi Wu et al.

Ghost Noise for Regularizing Deep Neural Networks

Atli Kosson, Dongyang Fan, Martin Jaggi

Unified Projection-Free Algorithms for Adversarial DR-Submodular Optimization

Mohammad Pedramfar, Yididiya Nadew, Chris Quinn et al.

MaxMI: A Maximal Mutual Information Criterion for Manipulation Concept Discovery

Pei Zhou, Yanchao Yang

Semantic-Aware Autoregressive Image Modeling for Visual Representation Learning

Kaiyou Song, Shan Zhang, Tong Wang

Testing Self-Reducible Samplers

Rishiraj Bhattacharyya, Sourav Chakraborty, Yash Pote et al.

Quantifying Network Similarity using Graph Cumulants

Gecia Bravo-Hermsdorff, Lee M. Gunderson, Pierre-André Maugis et al.

Multiply Robust Estimation for Local Distribution Shifts with Multiple Domains

Steven Wilkins-Reeves, Xu Chen, Qi Ma et al.

Adaptive Accompaniment with ReaLchords

Yusong Wu, Tim Cooijmans, Kyle Kastner et al.

LEROjD: Lidar Extended Radar-Only Object Detection

Patrick Palmer, Martin Krüger, Stefan Schütte et al.

Point-supervised Panoptic Segmentation via Estimating Pseudo Labels from Learnable Distance

Jing Li, Junsong Fan, Zhaoxiang Zhang

An Eager Satisfiability Modulo Theories Solver for Algebraic Datatypes

Amar Shah, Federico Mora, Sanjit A. Seshia

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.

Can Machines Learn the True Probabilities?

Jinsook Kim

Learning Where to Look: Self-supervised Viewpoint Selection for Active Localization using Geometrical Information

Luca Di Giammarino, Boyang Sun, Giorgio Grisetti et al.

Subequivariant Reinforcement Learning in 3D Multi-Entity Physical Environments

Runfa Chen, Ling Wang, Yu Du et al.

HORIZON: High-Resolution Semantically Controlled Panorama Synthesis

Kun Yan, Lei Ji, Jian Liang et al.

CSOT: Cross-Scan Object Transfer for Semi-Supervised LiDAR Object Detection

Jinglin Zhan, Tiejun Liu, Rengang Li et al.

A2XP: Towards Private Domain Generalization

Geunhyeok Yu, Hyoseok Hwang

Adaptive Annealing for Robust Averaging

Sidhartha Chitturi, Venu Madhav Govindu

A Rotation-invariant Texture ViT for Fine-Grained Recognition of Esophageal Cancer Endoscopic Ultrasound Images

Tianyi Liu, Shuaishuai S Zhuang, Jiacheng Nie et al.

CGS-Mask: Making Time Series Predictions Intuitive for All

Feng Lu, Wei Li, Yifei Sun et al.

Accelerating Convergence in Bayesian Few-Shot Classification

Tianjun Ke, Haoqun Cao, Feng Zhou

Text Diffusion with Reinforced Conditioning

Yuxuan Liu, Tianchi Yang, Shaohan Huang et al.

MaRINeR: Enhancing Novel Views by Matching Rendered Images with Nearby References

Lukas Bösiger, Mihai Dusmanu, Marc Pollefeys et al.

Implicit Modeling of Non-rigid Objects with Cross-Category Signals

Yuchun Liu, Benjamin Planche, Meng Zheng et al.

Stable Preference: Redefining training paradigm of human preference model for Text-to-Image Synthesis

Hanting Li, Hongjing Niu, Feng Zhao

VF-NeRF: Viewshed Fields for Rigid NeRF Registration

Leo Segre, Shai Avidan

Mask-Based Modeling for Neural Radiance Fields

Ganlin Yang, Guoqiang Wei, Zhizheng Zhang et al.

Uniformly Stable Algorithms for Adversarial Training and Beyond

Jiancong Xiao, Jiawei Zhang, Zhi-Quan Luo et al.

NeRFDeformer: NeRF Transformation from a Single View via 3D Scene Flows

Zhenggang Tang, Jason Ren, Xiaoming Zhao et al.

RoofDiffusion: Constructing Roofs from Severely Corrupted Point Data via Diffusion

Kyle Lo, Jorg Peters, Eric Spellman

REPrune: Channel Pruning via Kernel Representative Selection

Mincheol Park, Dongjin Kim, Cheonjun Park et al.

Spatio-Temporal Proximity-Aware Dual-Path Model for Panoramic Activity Recognition

Sumin Lee, Yooseung Wang, Sangmin Woo et al.

From Correspondences to Pose: Non-minimal Certifiably Optimal Relative Pose without Disambiguation

Javier Tirado-Garín, Javier Civera

Region-Native Visual Tokenization

Mengyu Wang, Yuyao Huang, Henghui Ding et al.

Efficient Cascaded Multiscale Adaptive Network for Image Restoration

Yichen Zhou, Pan Zhou, Teck Khim Ng

Memory Asymmetry Creates Heteroclinic Orbits to Nash Equilibrium in Learning in Zero-Sum Games

Yuma Fujimoto, Kaito Ariu, Kenshi Abe

PAV: Personalized Head Avatar from Unstructured Video Collection

Akin Caliskan, Berkay Kicanaoglu, H K

POA: Pre-training Once for Models of All Sizes

Yingying Zhang, Xin Guo, Jiangwei Lao et al.

Doubly Robust Instance-Reweighted Adversarial Training

Daouda Sow, Sen Lin, Zhangyang Wang et al.

Rethinking Robustness of Model Attributions

Sandesh Kamath, Sankalp Mittal, Amit Deshpande et al.

3D Visibility-Aware Generalizable Neural Radiance Fields for Interacting Hands

Xuan Huang, Hanhui Li, Zejun Yang et al.

GRACE: Graph-Based Contextual Debiasing for Fair Visual Question Answering

Yifeng Zhang, Ming Jiang, Qi Zhao

Interpreting Equivariant Representations

Andreas Abildtrup Hansen, Anna Calissano, Aasa Feragen

Divide and Fuse: Body Part Mesh Recovery from Partially Visible Human Images

Tianyu Luan, Zhongpai Gao, Luyuan Xie et al.

Reweighted Solutions for Weighted Low Rank Approximation

David Woodruff, Taisuke Yasuda

STAIR: Spatial-Temporal Reasoning with Auditable Intermediate Results for Video Question Answering

Responsible Visual Editing

Minheng Ni, Yeli Shen, Yabin Zhang et al.

HyperSpaceX: Radial and Angular Exploration of HyperSpherical Dimensions

Chiranjeev Chiranjeev, Muskan Dosi, Kartik Thakral et al.

Views Can Be Deceiving: Improved SSL Through Feature Space Augmentation

Kimia Hamidieh, Haoran Zhang, Swami Sankaranarayanan et al.

Offline Imitation from Observation via Primal Wasserstein State Occupancy Matching

Kai Yan, Alex Schwing, Yu-Xiong Wang

ViG-Bias: Visually Grounded Bias Discovery and Mitigation

Badr-Eddine Marani, Mohamed HANINI, Nihitha Malayarukil et al.

Efficient Unsupervised Visual Representation Learning with Explicit Cluster Balancing

Ioannis Maniadis Metaxas, Georgios Tzimiropoulos, ioannis Patras

Local Occupancy-Enhanced Object Grasping with Multiple Triplanar Projection

Kangqi Ma, Hao Dong, Yadong Mu

Turnstile $\ell_p$ leverage score sampling with applications

Alexander Munteanu, Simon Omlor

On the Recoverability of Causal Relations from Temporally Aggregated I.I.D. Data

Shunxing Fan, Mingming Gong, Kun Zhang

Elevating All Zero-Shot Sketch-Based Image Retrieval Through Multimodal Prompt Learning

Mainak Singha, Ankit Jha, Divyam Gupta et al.

Theoretical and Empirical Analysis of Cost-Function Merging for Implicit Hitting Set WCSP Solving

Javier Larrosa, Conrado Martínez, Emma Rollon

WinSyn: : A High Resolution Testbed for Synthetic Data

Tom Kelly, John Femiani, Peter Wonka

Towards Learning and Explaining Indirect Causal Effects in Neural Networks

Abbavaram Gowtham Reddy, Saketh Bachu, Harsharaj Pathak et al.

A Dynamic Algorithm for Weighted Submodular Cover Problem

Kiarash Banihashem, Samira Goudarzi, MohammadTaghi Hajiaghayi et al.

Dual Pose-invariant Embeddings: Learning Category and Object-specific Discriminative Representations for Recognition and Retrieval

Rohan Sarkar, Avinash Kak

Distributed Semantic Segmentation with Efficient Joint Source and Task Decoding

Danish Nazir, Timo Bartels, Jan Piewek et al.

Exact Policy Recovery in Offline RL with Both Heavy-Tailed Rewards and Data Corruption

Yiding Chen, Xuezhou Zhang, Qiaomin Xie et al.

Towards Architecture-Agnostic Untrained Networks Priors for Image Reconstruction with Frequency Regularization

Yilin Liu, Yunkui Pang, Jiang Li et al.

Active Learning Guided by Efficient Surrogate Learners

Yunpyo An, Suyeong Park, Kwang In Kim

GRAPE: Generalizable and Robust Multi-view Facial Capture

Jing Li, Di Kang, Zhenyu He

Orthogonal Bootstrap: Efficient Simulation of Input Uncertainty

Kaizhao Liu, Jose Blanchet, Lexing Ying et al.

NGP-RT: Fusing Multi-Level Hash Features with Lightweight Attention for Real-Time Novel View Synthesis

Yubin Hu, Xiaoyang Guo, Yang Xiao et al.

Camera Height Doesn't Change: Unsupervised Training for Metric Monocular Road-Scene Depth Estimation

Genki Kinoshita, Ko Nishino

MO-EMT-NAS: Multi-Objective Continuous Transfer of Architectural Knowledge Between Tasks from Different Datasets

Peng Liao, Xilu Wang, Yaochu Jin et al.

Coarse-To-Fine Tensor Trains for Compact Visual Representations

Sebastian Loeschcke, Dan Wang, Christian Leth-Espensen et al.

DA-Net: A Disentangled and Adaptive Network for Multi-Source Cross-Lingual Transfer Learning

Ling Ge, Chunming Hu, Guanghui Ma et al.

Self-Supervised Coarsening of Unstructured Grid with Automatic Differentiation

Sergei Shumilin, Alexander Ryabov, Nikolay Yavich et al.