Most Cited 2024 "low precision integers" Papers
12,324 papers found • Page 59 of 62
Conference
Privacy-Preserving Adaptive Re-Identification without Image Transfer
Hamza Rami, Jhony H. Giraldo, Nicolas Winckler et al.
Unbiased Multi-Label Learning from Crowdsourced Annotations
Mingxuan Xia, Zenan Huang, Runze Wu et al.
Position: Evolving AI Collectives Enhance Human Diversity and Enable Self-Regulation
Shiyang Lai, Yujin Potter, Junsol Kim et al.
Learning Scale-Aware Spatio-temporal Implicit Representation for Event-based Motion Deblurring
Wei Yu, Jianing Li, Shengping Zhang et al.
Mind the Boundary: Coreset Selection via Reconstructing the Decision Boundary
Shuo Yang, Zhe Cao, Sheng Guo et al.
Position: Standardization of Behavioral Use Clauses is Necessary for the Adoption of Responsible Licensing of AI
Daniel McDuff, Tim Korjakow, Scott Cambo et al.
Irregular Multivariate Time Series Forecasting: A Transformable Patching Graph Neural Networks Approach
Weijia Zhang, Chenlong Yin, Hao Liu et al.
Mean Field Langevin Actor-Critic: Faster Convergence and Global Optimality beyond Lazy Learning
Kakei Yamamoto, Kazusato Oko, Zhuoran Yang et al.
Multi-Track Message Passing: Tackling Oversmoothing and Oversquashing in Graph Learning via Preventing Heterophily Mixing
Hongbin Pei, Yu Li, Huiqi Deng et al.
Prometheus: Out-of-distribution Fluid Dynamics Modeling with Disentangled Graph ODE
Hao Wu, Huiyuan Wang, kun wang et al.
Motion Aware Event Representation-driven Image Deblurring
Zhijing Sun, Xueyang Fu, Longzhuo Huang et al.
Scaling Speech Technology to 1,000+ Languages
Vineel Pratap Konduru, Andros Tjandra, Bowen Shi et al.
Category Adaptation Meets Projected Distillation in Generalized Continual Category Discovery
Grzegorz Rypesc, Daniel Marczak, Sebastian Cygert et al.
BeigeMaps: Behavioral Eigenmaps for Reinforcement Learning from Images
Sandesh Adhikary, Anqi Li, Byron Boots
Optimal Coresets for Low-Dimensional Geometric Median
Peyman Afshani, Chris Schwiegelshohn
Probabilistic Generating Circuits - Demystified
Sanyam Agarwal, Markus Bläser
The Non-linear $F$-Design and Applications to Interactive Learning
Alekh Agarwal, Jian Qian, Alexander Rakhlin et al.
LeaPformer: Enabling Linear Transformers for Autoregressive and Simultaneous Tasks via Learned Proportions
Victor Agostinelli III, Sanghyun Hong, Lizhong Chen
MarineInst: A Foundation Model for Marine Image Analysis with Instance Visual Description
Ziqiang Zheng, Yiwei Chen, Huimin Zeng et al.
Learning Mixtures of Gaussian Processes through Random Projection
Emmanuel Akeweje, Mimi Zhang
Textual Grounding for Open-vocabulary Visual Information Extraction in Layout-diversified Documents
MENGJUN CHENG, Chengquan Zhang, Chang Liu et al.
Hyperbolic Optimizer as a Dynamical System
Nico Alvarado, Hans Lobel
Stationarity without mean reversion in improper Gaussian processes
Luca Ambrogioni
Robust Graph Matching when Nodes are Corrupt
Taha Ameen Ur Rahman, Bruce Hajek
Fast Algorithms for Hypergraph PageRank with Applications to Semi-Supervised Learning
Konstantinos Ameranis, Adela DePavia, Lorenzo Orecchia et al.
An amortized approach to non-linear mixed-effects modeling based on neural posterior estimation
Jonas Arruda, Yannik Schälte, Clemens Peiter et al.
Delaunay Graph: Addressing Over-Squashing and Over-Smoothing Using Delaunay Triangulation
Hugo Attali, Davide Buscaldi, Nathalie Pernelle
Bipartite Matching in Massive Graphs: A Tight Analysis of EDCS
Amir Azarmehr, Soheil Behnezhad, Mohammad Roghani
Diffusion Models Demand Contrastive Guidance for Adversarial Purification to Advance
Mingyuan Bai, Wei Huang, Li Tenghui et al.
Memory Consolidation Enables Long-Context Video Understanding
Ivana Balazevic, Yuge Shi, Pinelopi Papalampidi et al.
Analyzing $D^\alpha$ seeding for $k$-means
Etienne Bamas, Sai Ganesh Nagarajan, Ola Svensson
BlazeBVD: Make Scale-Time Equalization Great Again for Blind Video Deflickering
Xinmin Qiu, Congying Han, Zicheng Zhang et al.
By Tying Embeddings You Are Assuming the Distributional Hypothesis
Bertolotti Francesco, Walter Cazzola
SAFARI: Adaptive Sequence Transformer for Weakly Supervised Referring Expression Segmentation
Sayan Nag, Koustava Goswami, Srikrishna Karanam
Position: Scaling Simulation is Neither Necessary Nor Sufficient for In-the-Wild Robot Manipulation
Homanga Bharadhwaj
Why do Variational Autoencoders Really Promote Disentanglement?
Pratik Bhowal, Achint Soni, Sirisha Rambhatla
Multi-Patch Prediction: Adapting Language Models for Time Series Representation Learning
Yuxuan Bian, Xuan Ju, Jiangtong Li et al.
Stability Evaluation through Distributional Perturbation Analysis
Jose Blanchet, Peng Cui, Jiajin Li et al.
Position: Machine Learning-powered Assessments of the EU Digital Services Act Aid Quantify Policy Impacts on Online Harms
Eleonora Bonel, Luca Nannini, Davide Bassi et al.
Applying language models to algebraic topology: generating simplicial cycles using multi-labeling in Wu's formula
Kirill Brilliantov, Fedor Pavutnitskiy, Dmitrii A. Pasechniuk et al.
MAD-DR: Map Compression for Visual Localization with Matchness Aware Descriptor Dimension Reduction
Qiang Wang
Langevin Policy for Safe Reinforcement Learning
Fenghao Lei, Long Yang, Shiting Wen et al.
LLM as Copilot for Coarse-grained Vision-and-Language Navigation
Yanyuan Qiao, Qianyi Liu, Jiajun Liu et al.
Successor Features for Efficient Multi-Subject Controlled Text Generation
Meng Cao, Mehdi Fatemi, Jackie Chi Kit Cheung et al.
Limited Preference Aided Imitation Learning from Imperfect Demonstrations
Xingchen Cao, Fan-Ming Luo, Junyin Ye et al.
Physically Plausible Color Correction for Neural Radiance Fields
Qi Zhang, Ying Feng, HONGDONG LI
Scribble-Supervised Semantic Segmentation with Prototype-based Feature Augmentation
Guiyang Chan, Pengcheng Zhang, Hai Dong et al.
Towards AutoAI: Optimizing a Machine Learning System with Black-box and Differentiable Components
Zhiliang Chen, Chuan-Sheng Foo, Bryan Kian Hsiang Low
Accelerated Policy Gradient for s-rectangular Robust MDPs with Large State Spaces
Ziyi Chen, Heng Huang
Offline Transition Modeling via Contrastive Energy Learning
Ruifeng Chen, Chengxing Jia, Zefang Huang et al.
Locally Differentially Private Decentralized Stochastic Bilevel Optimization with Guaranteed Convergence Accuracy
Ziqin Chen, Yongqiang Wang
In-Context Unlearning: Language Models as Few-Shot Unlearners
Martin Pawelczyk, Seth Neel, Himabindu Lakkaraju
DRCT: Diffusion Reconstruction Contrastive Training towards Universal Detection of Diffusion Generated Images
Baoying Chen, Jishen Zeng, Jianquan Yang et al.
FedMBridge: Bridgeable Multimodal Federated Learning
Jiayi Chen, Aidong Zhang
A Direct Approach to Viewing Graph Solvability
Federica Arrigoni, Andrea Fusiello, Tomas Pajdla
Three Things We Need to Know About Transferring Stable Diffusion to Visual Dense Prediciton Tasks
Manyuan Zhang, Guanglu Song, Xiaoyu Shi et al.
Enhancing Implicit Shape Generators Using Topological Regularizations
Liyan Chen, Yan Zheng, Yang Li et al.
Stacking Deep Set Networks and Pooling by Quantiles
Zhuojun Chen, Xinghua Zhu, Dongzhe Su et al.
Unsqueeze [CLS] Bottleneck to Learn Rich Representations
Qing Su, Shihao Ji
Leveraging (Biased) Information: Multi-armed Bandits with Offline Data
Wang Chi Cheung, Lixing Lyu
Expert Proximity as Surrogate Rewards for Single Demonstration Imitation Learning
Chia-Cheng Chiang, Li-Cheng Lan, Wei-Fang Sun et al.
MS-TIP: Imputation Aware Pedestrian Trajectory Prediction
Pranav Singh Chib, Achintya Nath, Paritosh Kabra et al.
Enhancing Trajectory Prediction through Self-Supervised Waypoint Distortion Prediction
Pranav Singh Chib, Pravendra Singh
Hard Tasks First: Multi-Task Reinforcement Learning Through Task Scheduling
MYUNG-SIK CHO, Jong Eui Park, Suyoung Lee et al.
Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization
Hyuna Cho, Jaeyoon Sim, Guorong Wu et al.
DomainFusion: Generalizing To Unseen Domains with Latent Diffusion Models
Yuyang Huang, Yabo Chen, Yuchen Liu et al.
$\mathtt{VITS}$ : Variational Inference Thompson Sampling for contextual bandits
Pierre Clavier, Tom Huix, Alain Oliviero Durmus
Weighted distance nearest neighbor condensing
Lee-Ad Gottlieb, Timor Sharabi, Roi Weiss
Statistical Inference Under Constrained Selection Bias
Santiago Cortes-Gomez, Mateo Dulce Rubio, Carlos Miguel Patiño et al.
TrajPrompt: Aligning Color Trajectory with Vision-Language Representations
Li-Wu Tsao, Hao-Tang Tsui, Yu-Rou Tuan et al.
Position: Beyond Personhood: Agency, Accountability, and the Limits of Anthropomorphic Ethical Analysis
Jessica Dai
Multi-View Clustering by Inter-cluster Connectivity Guided Reward
Hao Dai, Yang Liu, Peng Su et al.
High-Order Contrastive Learning with Fine-grained Comparative Levels for Sparse Ordinal Tensor Completion
Yu Dai, Junchen Shen, Zijie Zhai et al.
New Bounds on the Cohesion of Complete-link and Other Linkage Methods for Agglomerative Clustering
Sanjoy Dasgupta, Eduardo Laber
Asymptotically Optimal and Computationally Efficient Average Treatment Effect Estimation in A/B testing
VIKAS DEEP, Achal Bassamboo, Sandeep Juneja
Predicting Lagrangian Multipliers for Mixed Integer Linear Programs
Francesco Demelas, Joseph Roux, Mathieu Lacroix et al.
Network Tight Community Detection
Jiayi Deng, Xiaodong Yang, Jun Yu et al.
Double Stochasticity Gazes Faster: Snap-Shot Decentralized Stochastic Gradient Tracking Methods
Hao Di, Haishan Ye, Xiangyu Chang et al.
Fast Co-Training under Weak Dependence via Stream-Based Active Learning
Ilias Diakonikolas, Mingchen Ma, Lisheng Ren et al.
Convex and Bilevel Optimization for Neural-Symbolic Inference and Learning
Charles Dickens, Changyu Gao, Connor Pryor et al.
Agent-Specific Effects: A Causal Effect Propagation Analysis in Multi-Agent MDPs
Stelios Triantafyllou, Aleksa Sukovic, Debmalya Mandal et al.
Consistent Adversarially Robust Linear Classification: Non-Parametric Setting
Elvis Dohmatob
Precise Accuracy / Robustness Tradeoffs in Regression: Case of General Norms
Elvis Dohmatob, Meyer Scetbon
Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective
Yuxin Dong, Tieliang Gong, Hong Chen et al.
Position: Building Guardrails for Large Language Models Requires Systematic Design
Yi DONG, Ronghui Mu, Gaojie Jin et al.
KernelSHAP-IQ: Weighted Least Square Optimization for Shapley Interactions
Fabian Fumagalli, Maximilian Muschalik, Patrick Kolpaczki et al.
Bridging the Gap: Studio-like Avatar Creation from a Monocular Phone Capture
ShahRukh Athar, Shunsuke Saito, Stanislav Pidhorskyi et al.
Principled Gradient-Based MCMC for Conditional Sampling of Text
Li Du, Afra Amini, Lucas Torroba Hennigen et al.
Position: Compositional Generative Modeling: A Single Model is Not All You Need
Yilun Du, Leslie Kaelbling
MF-CLR: Multi-Frequency Contrastive Learning Representation for Time Series
Jufang Duan, Wei Zheng, Yangzhou Du et al.
Barrier Algorithms for Constrained Non-Convex Optimization
Pavel Dvurechenskii, Mathias Staudigl
Scalable Pre-training of Large Autoregressive Image Models
Alaaeldin Ali, Michal Klein, Shuangfei Zhai et al.
PAC-Bayesian Error Bound, via Rényi Divergence, for a Class of Linear Time-Invariant State-Space Models
Deividas Eringis, john leth, Zheng-Hua Tan et al.
Revisit the Essence of Distilling Knowledge through Calibration
Wen-Shu Fan, Su Lu, Xin-Chun Li et al.
Bayesian Knowledge Distillation: A Bayesian Perspective of Distillation with Uncertainty Quantification
Luyang Fang, Yongkai Chen, Wenxuan Zhong et al.
From Geometry to Causality- Ricci Curvature and the Reliability of Causal Inference on Networks
Amirhossein Farzam, Allen Tannenbaum, Guillermo Sapiro
iMatching: Imperative Correspondence Learning
Chen Wang, Dasong Gao, Yun-Jou Lin et al.
AnyHome: Open-Vocabulary Large-Scale Indoor Scene Generation with First-Person View Exploration
Rao Fu, Zehao Wen, Zichen Liu et al.
Reservoir Computing for Short High-Dimensional Time Series: an Application to SARS-CoV-2 Hospitalization Forecast
Thomas Ferté, Dutartre Dan, Boris Hejblum et al.
Position: Relational Deep Learning - Graph Representation Learning on Relational Databases
Matthias Fey, Weihua Hu, Kexin Huang et al.
Neuroexplicit Diffusion Models for Inpainting of Optical Flow Fields
Tom Fischer, Pascal Peter, Joachim Weickert et al.
Inverse-Variance Weighting for Estimation of Heterogeneous Treatment Effects
Aaron Fisher
PinNet: Pinpoint Instructive Information for Retrieval Augmented Code-to-Text Generation
Han Fu, Jian Tan, Pinhan Zhang et al.
A Doubly Recursive Stochastic Compositional Gradient Descent Method for Federated Multi-Level Compositional Optimization
Hongchang Gao
Adaptive-Gradient Policy Optimization: Enhancing Policy Learning in Non-Smooth Differentiable Simulations
Feng Gao, Liangzhi Shi, Shenao Zhang et al.
Safe and Robust Subgame Exploitation in Imperfect Information Games
Zhenxing Ge, Zheng Xu, Tianyu Ding et al.
Graph-Triggered Rising Bandits
Gianmarco Genalti, Marco Mussi, Nicola Gatti et al.
Reinforcement Learning within Tree Search for Fast Macro Placement
Zijie Geng, Jie Wang, Ziyan Liu et al.
Agnostic Learning of Mixed Linear Regressions with EM and AM Algorithms
Avishek Ghosh, Arya Mazumdar
Does Label Smoothing Help Deep Partial Label Learning?
Xiuwen Gong, Nitin Bisht, Guandong Xu
Evolution-Inspired Loss Functions for Protein Representation Learning
Chengyue Gong, Adam Klivans, James Loy et al.
U-COPE: Taking a Further Step to Universal 9D Category-level Object Pose Estimation
li zhang, Weiqing Meng, Yan Zhong et al.
E$^2$GAN: Efficient Training of Efficient GANs for Image-to-Image Translation
Yifan Gong, Zheng Zhan, Qing Jin et al.
Fine-grained Classes and How to Find Them
Matej Grcic, Artyom Gadetsky, Maria Brbic
EDISON: Enhanced Dictionary-Induced Tensorized Incomplete Multi-View Clustering with Gaussian Error Rank Minimization
Zhibin Gu, Zhendong Li, Songhe Feng
ACM-MILP: Adaptive Constraint Modification via Grouping and Selection for Hardness-Preserving MILP Instance Generation
Ziao Guo, Yang Li, Chang Liu et al.
Compressing Large Language Models by Joint Sparsification and Quantization
Jinyang Guo, Jianyu Wu, Zining Wang et al.
E3V-K5: An Authentic Benchmark for Redefining Video-Based Energy Expenditure Estimation
Shengxuming Zhang, Lei Jin, Yifan Wang et al.
SIN: Selective and Interpretable Normalization for Long-Term Time Series Forecasting
Lu Han, Han-Jia Ye, De-Chuan Zhan
Binary Decomposition: A Problem Transformation Perspective for Open-Set Semi-Supervised Learning
Jun-Yi Hang, Min-Ling Zhang
Convergence Guarantees for the DeepWalk Embedding on Block Models
Christopher Harker, Aditya Bhaskara
Estimating the Permanent by Nesting Importance Sampling
Juha Harviainen, Mikko Koivisto
Position: $C^*$-Algebraic Machine Learning $-$ Moving in a New Direction
Yuka Hashimoto, Masahiro Ikeda, Hachem Kadri
Deep Neural Room Acoustics Primitive
Yuhang He, Anoop Cherian, Gordon Wichern et al.
ReDiffuser: Reliable Decision-Making Using a Diffuser with Confidence Estimation
Nantian He, Shaohui Li, Zhi Li et al.
Domain-wise Data Acquisition to Improve Performance under Distribution Shift
Yue He, Dongbai Li, Pengfei Tian et al.
Ambiguity-Aware Abductive Learning
Hao-Yuan He, Hui Sun, Zheng Xie et al.
Learning Surrogates for Offline Black-Box Optimization via Gradient Matching
Minh Hoang, Azza Fadhel, Aryan Deshwal et al.
Estimating Unknown Population Sizes Using the Hypergeometric Distribution
Liam Hodgson, Danilo Bzdok
Enhancing Sufficient Dimension Reduction via Hellinger Correlation
Seungbeom Hong, Ilmun Kim, Jun Song
Pathformer3D: A 3D Scanpath Transformer for 360° Images
Rong Quan, yantao Lai, Mengyu Qiu et al.
Maestro: Uncovering Low-Rank Structures via Trainable Decomposition
Samuel Horváth, Stefanos Laskaridis, Shashank Rajput et al.
Visual Prompting via Partial Optimal Transport
MENGYU ZHENG, Zhiwei Hao, Yehui Tang et al.
Task-aware Orthogonal Sparse Network for Exploring Shared Knowledge in Continual Learning
Yusong Hu, De Cheng, Dingwen Zhang et al.
LiteSAM is Actually what you Need for segment Everything
Jianhai Fu, Yuanjie Yu, Ningchuan Li et al.
Pseudo-Calibration: Improving Predictive Uncertainty Estimation in Unsupervised Domain Adaptation
Dapeng Hu, Jian Liang, Xinchao Wang et al.
Efficient Training of Spiking Neural Networks with Multi-Parallel Implicit Stream Architecture
Zhigao Cao, Meng Li, Xiashuang Wang et al.
High-Performance Temporal Reversible Spiking Neural Networks with $\mathcal{O}(L)$ Training Memory and $\mathcal{O}(1)$ Inference Cost
JiaKui Hu, Man Yao, Xuerui Qiu et al.
Auctionformer: A Unified Deep Learning Algorithm for Solving Equilibrium Strategies in Auction Games
Kexin Huang, Ziqian Chen, xue wang et al.
Diff3DETR: Agent-based Diffusion Model for Semi-supervised 3D Object Detection
Jiacheng Deng, Jiahao Lu, Tianzhu Zhang
Near-Linear Time Approximation Algorithms for k-means with Outliers
Junyu Huang, Qilong Feng, Ziyun Huang et al.
InstructSpeech: Following Speech Editing Instructions via Large Language Models
Rongjie Huang, Ruofan Hu, Yongqi Wang et al.
MFTN: A Multi-scale Feature Transfer Network Based on IMatchFormer for Hyperspectral Image Super-Resolution
Shuying Huang, Mingyang Ren, Yong Yang et al.
On Which Nodes Does GCN Fail? Enhancing GCN From the Node Perspective
Jincheng Huang, Jialie SHEN, Xiaoshuang Shi et al.
Quasi-Monte Carlo Features for Kernel Approximation
ZHEN HUANG, Jiajin Sun, Yian Huang
6DoF Head Pose Estimation through Explicit Bidirectional Interaction with Face Geometry
Sungho Chun, Ju Yong Chang
Interaction-based Retrieval-augmented Diffusion Models for Protein-specific 3D Molecule Generation
Zhilin Huang, Ling Yang, Xiangxin Zhou et al.
Position: The Platonic Representation Hypothesis
Minyoung Huh, Brian Cheung, Tongzhou Wang et al.
Adapting Pretrained ViTs with Convolution Injector for Visuo-Motor Control
Dongyoon Hwang, Byungkun Lee, Hojoon Lee et al.
S-JEPA: A Joint Embedding Predictive Architecture for Skeletal Action Recognition
Mohamed Abdelfattah, Alexandre ALahi
Online Non-stochastic Control with Partial Feedback
Yu-Hu Yan, Peng Zhao, Zhi-Hua Zhou
Rethinking DP-SGD in Discrete Domain: Exploring Logistic Distribution in the Realm of signSGD
Jonggyu Jang, Seongjin Hwang, Hyun Jong Yang
Advancing Dynamic Sparse Training by Exploring Optimization Opportunities
Jie Ji, Gen Li, Lu Yin et al.
ACE: Off-Policy Actor-Critic with Causality-Aware Entropy Regularization
Tianying Ji, Yongyuan Liang, Yan Zeng et al.
Improving Unsupervised Domain Adaptation: A Pseudo-Candidate Set Approach
Aveen Dayal, Rishabh Lalla, Linga Reddy Cenkeramaddi et al.
NDOT: Neuronal Dynamics-based Online Training for Spiking Neural Networks
Haiyan Jiang, Giulia De Masi, Huan Xiong et al.
Enhancing Optimization Robustness in 1-bit Neural Networks through Stochastic Sign Descent
NianHui Guo, Hong Guo, Christoph Meinel et al.
SuDA: Support-based Domain Adaptation for Sim2Real Hinge Joint Tracking with Flexible Sensors
Fang Jiawei, Haishan Song, Chengxu Zuo et al.
Is Epistemic Uncertainty Faithfully Represented by Evidential Deep Learning Methods?
Mira Juergens, Nis Meinert, Viktor Bengs et al.
Think Before You Act: Decision Transformers with Working Memory
Jikun Kang, Romain Laroche, Xingdi Yuan et al.
Neural Tangent Kernels for Axis-Aligned Tree Ensembles
Ryuichi Kanoh, Mahito Sugiyama
On the Generalization of Equivariant Graph Neural Networks
Rafał Karczewski, Amauri Souza, Vikas Garg
Pluvial Flood Emulation with Hydraulics-informed Message Passing
Arnold Kazadi, James Doss-Gollin, Arlei Silva
A Universal Transfer Theorem for Convex Optimization Algorithms Using Inexact First-order Oracles
Phillip Kerger, Marco Molinaro, Hongyi Jiang et al.
Neural Tangent Kernels Motivate Cross-Covariance Graphs in Neural Networks
Shervin Khalafi, Saurabh Sihag, Alejandro Ribeiro
Off-policy Evaluation Beyond Overlap: Sharp Partial Identification Under Smoothness
Samir Khan, Martin Saveski, Johan Ugander
Achieving Lossless Gradient Sparsification via Mapping to Alternative Space in Federated Learning
Do-Yeon Kim, Dong-Jun Han, Jun Seo et al.
Synergistic Integration of Coordinate Network and Tensorial Feature for Improving Neural Radiance Fields from Sparse Inputs
Mingyu Kim, Kim Jun-Seong, Se-Young Yun et al.
Clustered Federated Learning via Gradient-based Partitioning
Heasung Kim, Hyeji Kim, Gustavo De Veciana
Risk-Sensitive Policy Optimization via Predictive CVaR Policy Gradient
Ju-Hyun Kim, Seungki Min
Privacy-Preserving Embedding via Look-up Table Evaluation with Fully Homomorphic Encryption
Jae-yun Kim, Saerom Park, Joohee Lee et al.
Discovering Features with Synergistic Interactions in Multiple Views
Chohee Kim, M van der Schaar, Changhee Lee
The Computational Complexity of Finding Second-Order Stationary Points
Andreas Kontogiannis, Vasilis Pollatos, Sotiris Kanellopoulos et al.
convSeq: Fast and Scalable Method for Detecting Patterns in Spike Data
Roman Koshkin, Tomoki Fukai
A General Online Algorithm for Optimizing Complex Performance Metrics
Wojciech Kotlowski, Marek Wydmuch, Erik Schultheis et al.
Linearly Controllable GAN: Unsupervised Feature Categorization and Decomposition for Image Generation and Manipulation
Sehyung Lee, Mijung Kim, Yeongnam Chae et al.
KISA: A Unified Keyframe Identifier and Skill Annotator for Long-Horizon Robotics Demonstrations
Longxin Kou, Fei Ni, Yan Zheng et al.
Geometry-Aware Instrumental Variable Regression
Heiner Kremer, Bernhard Schölkopf
Robust Inverse Graphics via Probabilistic Inference
Tuan Anh Le, Pavel Sountsov, Matthew Hoffman et al.
Knowledge Graphs Can be Learned with Just Intersection Features
Duy Le, Shaochen (Henry) Zhong, Zirui Liu et al.
Run-Time Task Composition with Safety Semantics
Kevin Leahy, Makai Mann, Zachary Serlin
Stationary Latent Weight Inference for Unreliable Observations from Online Test-Time Adaptation
Jae-Hong Lee, Joon Hyuk Chang
Supervised Matrix Factorization: Local Landscape Analysis and Applications
Joowon Lee, Hanbaek Lyu, Weixin Yao
StrWAEs to Invariant Representations
Hyunjong Lee, Yedarm Seong, Sungdong Lee et al.
Training Greedy Policy for Proposal Batch Selection in Expensive Multi-Objective Combinatorial Optimization
Deokjae Lee, Hyun Oh Song, Kyunghyun Cho
DetKDS: Knowledge Distillation Search for Object Detectors
Lujun Li, Yufan Bao, Peijie Dong et al.
Purifying Quantization-conditioned Backdoors via Layer-wise Activation Correction with Distribution Approximation
Boheng Li, Yishuo Cai, Jisong Cai et al.
Data Poisoning Attacks against Conformal Prediction
Yangyi Li, Aobo Chen, Wei Qian et al.
Positive and Unlabeled Learning with Controlled Probability Boundary Fence
Changchun Li, Yuanchao Dai, Lei Feng et al.
Vague Prototype-Oriented Diffusion Model for Multi-Class Anomaly Detection
yuxin li, Yaoxuan Feng, Bo Chen et al.
Graph Structure Extrapolation for Out-of-Distribution Generalization
Xiner Li, Shurui Gui, Youzhi Luo et al.
Value-Evolutionary-Based Reinforcement Learning
Pengyi Li, Jianye Hao, Hongyao Tang et al.
MemBN: Robust Test-Time Adaptation via Batch Norm with Statistics Memory
Juwon Kang, Nayeong Kim, Jungseul Ok et al.
A Generative Approach for Treatment Effect Estimation under Collider Bias: From an Out-of-Distribution Perspective
Baohong Li, Haoxuan Li, Anpeng Wu et al.
Learning Shadow Variable Representation for Treatment Effect Estimation under Collider Bias
Baohong Li, Haoxuan Li, Ruoxuan Xiong et al.
Enhancing Class-Imbalanced Learning with Pre-Trained Guidance through Class-Conditional Knowledge Distillation
Lan Li, Xin-Chun Li, Han-Jia Ye et al.
Concentration Inequalities for General Functions of Heavy-Tailed Random Variables
Shaojie Li, Yong Liu
Sparse Cocktail: Every Sparse Pattern Every Sparse Ratio All At Once
Zhangheng Li, Shiwei Liu, Tianlong Chen et al.
Learning Adaptive and View-Invariant Vision Transformer for Real-Time UAV Tracking
Yongxin Li, Mengyuan Liu, You Wu et al.
SparseSSP: 3D Subcellular Structure Prediction from Sparse-View Transmitted Light Images
Jintu Zheng, Yi Ding, Qizhe Liu et al.