Most Cited 2024 "conditional distribution shift" Papers
12,324 papers found • Page 51 of 62
Conference
Inducing Clusters Deep Kernel Gaussian Process for Longitudinal Data
Junjie Liang, Weijieying Ren, Sahar Hanifi et al.
Scribble-Supervised Semantic Segmentation with Prototype-based Feature Augmentation
Guiyang Chan, Pengcheng Zhang, Hai Dong et al.
Adaptive deep spiking neural network with global-local learning via balanced excitatory and inhibitory mechanism
Tingting Jiang, Qi Xu, Xuming Ran et al.
GraphChef: Decision-Tree Recipes to Explain Graph Neural Networks
Peter Müller, Lukas Faber, Karolis Martinkus et al.
Echoes of the Past: Boosting Long-tail Recognition via Reflective Learning
Qihao Zhao, YALUN DAI, Shen Lin et al.
QI-IRA: Quantum-Inspired Interactive Ranking Aggregation for Person Re-identification
Chunyu Hu, Hong Zhang, Chao Liang et al.
Differentiable Micro-Mesh Construction
Yishun Dou, Zhong Zheng, Qiaoqiao Jin et al.
Exploring Base-Class Suppression with Prior Guidance for Bias-Free One-Shot Object Detection
Wenwen Zhang, Yun Hu, Hangguan Shan et al.
APL: Anchor-based Prompt Learning for One-stage Weakly Supervised Referring Expression Comprehension
Yaxin Luo, Jiayi Ji, Xiaofu Chen et al.
Progressively Knowledge Distillation via Re-parameterizing Diffusion Reverse Process
Xufeng Yao, Fanbin Lu, Yuechen Zhang et al.
Point-to-Spike Residual Learning for Energy-Efficient 3D Point Cloud Classification
Qiaoyun Wu, Quanxiao Zhang, Chunyu Tan et al.
Structured-NeRF: Hierarchical Scene Graph with Neural Representation
Zhide Zhong, Jiakai Cao, songen gu et al.
FedCDA: Federated Learning with Cross-rounds Divergence-aware Aggregation
Haozhao Wang, Haoran Xu, Yichen Li et al.
Towards AutoAI: Optimizing a Machine Learning System with Black-box and Differentiable Components
Zhiliang Chen, Chuan-Sheng Foo, Bryan Kian Hsiang Low
On the Vulnerability of Adversarially Trained Models Against Two-faced Attacks
Shengjie Zhou, Lue Tao, Yuzhou Cao et al.
Deep Neural Networks Tend To Extrapolate Predictably
Katie Kang, Amrith Setlur, Claire Tomlin et al.
Can’t Make an Omelette Without Breaking Some Eggs: Plausible Action Anticipation Using Large Video-Language Models
Himangi Mittal, Nakul Agarwal, Shao-Yuan Lo et al.
Can we get the best of both Binary Neural Networks and Spiking Neural Networks for Efficient Computer Vision?
Gourav Datta, Zeyu Liu, Peter Beerel
Accelerated Policy Gradient for s-rectangular Robust MDPs with Large State Spaces
Ziyi Chen, Heng Huang
O2-Recon: Completing 3D Reconstruction of Occluded Objects in the Scene with a Pre-trained 2D Diffusion Model
Yubin Hu, Sheng Ye, Wang Zhao et al.
Offline Transition Modeling via Contrastive Energy Learning
Ruifeng Chen, Chengxing Jia, Zefang Huang et al.
Efficient Score Matching with Deep Equilibrium Layers
Yuhao Huang, Qingsong Wang, Akwum Onwunta et al.
2475 TF-CLIP: Learning Text-Free CLIP for Video-Based Person Re-identification
Training-free Multi-objective Diffusion Model for 3D Molecule Generation
XU HAN, Caihua Shan, Yifei Shen et al.
Runtime vs. Extracted Proof Size: An Exponential Gap for CDCL on QBFs
Olaf Beyersdorff, Benjamin Böhm, Meena Mahajan
M2SD:Multiple Mixing Self-Distillation for Few-Shot Class-Incremental Learning
Jinhao Lin, Ziheng Wu, Weifeng Lin et al.
Learning to Jointly Understand Visual and Tactile Signals
Yichen Li, Yilun Du, Chao Liu et al.
Interaction-centric Spatio-Temporal Context Reasoning for Multi-Person Video HOI Recognition
Yisong Wang, Nan Xi, Jingjing Meng et al.
S3A: Towards Realistic Zero-Shot Classification via Self Structural Semantic Alignment
Sheng Zhang, Muzammal Naseer, Guangyi Chen et al.
LabelDP-Pro: Learning with Label Differential Privacy via Projections
Badih Ghazi, Yangsibo Huang, Pritish Kamath et al.
Rethinking Channel Dimensions to Isolate Outliers for Low-bit Weight Quantization of Large Language Models
Jung Hwan Heo, Jeonghoon Kim, Beomseok Kwon et al.
Plug-and-Play: An Efficient Post-training Pruning Method for Large Language Models
Yingtao Zhang, Haoli Bai, Haokun Lin et al.
Locally Differentially Private Decentralized Stochastic Bilevel Optimization with Guaranteed Convergence Accuracy
Ziqin Chen, Yongqiang Wang
Reducing Item Discrepancy via Differentially Private Robust Embedding Alignment for Privacy-Preserving Cross Domain Recommendation
Weiming Liu, Xiaolin Zheng, Chaochao Chen et al.
Robust Similarity Learning with Difference Alignment Regularization
Shuo Chen, Gang Niu, Chen Gong et al.
Diving Segmentation Model into Pixels
Chen Gan, Zihao Yin, Kelei He et al.
Domesticating SAM for Breast Ultrasound Image Segmentation via Spatial-frequency Fusion and Uncertainty Correction
Wanting Zhang, Huisi Wu, Jing Qin
A Cognitive Model for Learning Abstract Relational Structures from Memory-based Decision-Making Tasks
Haruo Hosoya
Disentangling Time Series Representations via Contrastive Independence-of-Support on l-Variational Inference
Khalid OUBLAL, Said Ladjal, David Benhaiem et al.
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
NaRuto: Automatically Acquiring Planning Models from Narrative Texts
Ruiqi Li, Leyang Cui, Songtuan Lin et al.
CoSTA: End-to-End Comprehensive Space-Time Entanglement for Spatio-Temporal Video Grounding
Yaoyuan Liang, Xiao Liang, Yansong Tang et al.
FedTGP: Trainable Global Prototypes with Adaptive-Margin-Enhanced Contrastive Learning for
Jianqing Zhang, Yang Liu, Yang Hua et al.
AMAGO: Scalable In-Context Reinforcement Learning for Adaptive Agents
Jake Grigsby, Jim Fan, Yuke Zhu
Learning interpretable control inputs and dynamics underlying animal locomotion
Thomas Soares Mullen, Marine Schimel, Guillaume Hennequin 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.
Learning dynamic representations of the functional connectome in neurobiological networks
Luciano Dyballa, Samuel Lang, Alexandra Haslund-Gourley et al.
Rethinking Weakly-supervised Video Temporal Grounding From a Game Perspective
Xiang Fang, Zeyu Xiong, Wanlong Fang et al.
SEA-GWNN: Simple and Effective Adaptive Graph Wavelet Neural Network
Swakshar Deb, Sejuti Rahman, Shafin Rahman
COIN-Matting: Confounder Intervention for Image Matting
Zhaohe Liao, Jiangtong Li, Jun Lan et al.
Parallel Empirical Evaluations: Resilience despite Concurrency
Johannes Fichte, Tobias Geibinger, Markus Hecher et al.
IINet: Implicit Intra-inter Information Fusion for Real-Time Stereo Matching
Ximeng Li, Chen Zhang, Wanjuan Su et al.
Learning Multi-Faceted Prototypical User Interests
Nhu-Thuat Tran, Hady W. Lauw
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
SuperJunction: Learning-Based Junction Detection for Retinal Image Registration
Yu Wang, Xiaoye Wang, Zaiwang Gu et al.
Towards Imitation Learning to Branch for MIP: A Hybrid Reinforcement Learning based Sample Augmentation Approach
Changwen Zhang, wenli ouyang, Hao Yuan et al.
Hard Tasks First: Multi-Task Reinforcement Learning Through Task Scheduling
MYUNG-SIK CHO, Jong Eui Park, Suyoung Lee et al.
Idea2Img: Iterative Self-Refinement with GPT-4V for Automatic Image Design and Generation
Zhengyuan Yang, Jianfeng Wang, Linjie Li et al.
Neurodegenerative Brain Network Classification via Adaptive Diffusion with Temporal Regularization
Hyuna Cho, Jaeyoon Sim, Guorong Wu et al.
Approximation Algorithms for Preference Aggregation Using CP-Nets
Abu Mohammad Hammad Ali, Boting Yang, Sandra Zilles
Task Planning for Visual Room Rearrangement under Partial Observability
Karan Mirakhor, Sourav Ghosh, DIPANJAN DAS et al.
Unsupervised 3D Structure Inference from Category-Specific Image Collections
Weikang Wang, Dongliang Cao, Florian Bernard
Modelling complex vector drawings with stroke-clouds
Alexander Ashcroft, Ayan Das, Yulia Gryaditskaya et al.
When Do Program-of-Thought Works for Reasoning?
Zhen Bi, Ningyu Zhang, Yinuo Jiang et al.
T-SciQ: Teaching Multimodal Chain-of-Thought Reasoning via Large Language Model Signals for Science Question Answering
Lei Wang, Yi Hu, Jiabang He et al.
Effective Comparative Prototype Hashing for Unsupervised Domain Adaptation
Hui Cui, Lihai Zhao, Fengling Li et al.
Neuromorphic Event Signal-Driven Network for Video De-raining
Navigating Real-World Partial Label Learning: Unveiling Fine-Grained Images with Attributes
$\mathtt{VITS}$ : Variational Inference Thompson Sampling for contextual bandits
Pierre Clavier, Tom Huix, Alain Oliviero Durmus
First-order ANIL provably learns representations despite overparametrisation
Oğuz Kaan Yüksel, Etienne Boursier, Nicolas Flammarion
StrokeFaceNeRF: Stroke-based Facial Appearance Editing in Neural Radiance Field
Xiao-juan Li, Dingxi Zhang, Shu-Yu Chen et al.
Weighted distance nearest neighbor condensing
Lee-Ad Gottlieb, Timor Sharabi, Roi Weiss
Video2Game: Real-time Interactive Realistic and Browser-Compatible Environment from a Single Video
Hongchi Xia, Chih-Hao Lin, Wei-Chiu Ma et al.
Multi-Domain Deep Learning from a Multi-View Perspective for Cross-Border E-commerce Search
PILOT: An $\mathcal{O}(1/K)$-Convergent Approach for Policy Evaluation with Nonlinear Function Approximation
Zhuqing Liu, Xin Zhang, Jia Liu et al.
Statistical Inference Under Constrained Selection Bias
Santiago Cortes-Gomez, Mateo Dulce Rubio, Carlos Miguel Patiño et al.
Nymeria: A Massive Collection of Egocentric Multi-modal Human Motion in the Wild
Lingni Ma, Yuting Ye, Rowan Postyeni et al.
Fusion-Vital: Video-RF Fusion Transformer for Advanced Remote Physiological Measurement
Chengjie Ge, Xueyang Fu, Peng He et al.
Kepler codebook
Junrong Lian, Ziyue Dong, Pengxu Wei et al.
NeRF-XL: NeRF at Any Scale with Multi-GPU
Ruilong Li, Sanja Fidler, Angjoo Kanazawa 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.
Three Heads Are Better than One: Improving Cross-Domain NER with Progressive Decomposed Network
Xuming Hu, Zhaochen Hong, Yong Jiang et al.
Pedro Zuidberg Dos Martires
Unsupervised Exposure Correction
Ruodai Cui, Li Niu, Guosheng Hu
Are Conventional SNNs Really Efficient? A Perspective from Network Quantization
Guobin Shen, Dongcheng Zhao, Tenglong Li et al.
Learning Representations from Foundation Models for Domain Generalized Stereo Matching
Yongjian Zhang, Longguang Wang, Kunhong Li et al.
New Bounds on the Cohesion of Complete-link and Other Linkage Methods for Agglomerative Clustering
Sanjoy Dasgupta, Eduardo Laber
Improving Diffusion-Based Image Restoration with Error Contraction and Error Correction
Qiqi Bao, Zheng Hui, Rui Zhu et al.
EAN: An Efficient Attention Module Guided by Normalization for Deep Neural Networks
Jiafeng Li, Zelin Li, Ying Wen
FG-EmoTalk: Talking Head Video Generation with Fine-Grained Controllable Facial Expressions
Zhaoxu Sun, Yuze Xuan, Fang Liu et al.
Spectral Prompt Tuning: Unveiling Unseen Classes for Zero-Shot Semantic Segmentation
Wenhao Xu, Rongtao Xu, Changwei Wang et al.
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.
High-Fidelity Modeling of Generalizable Wrinkle Deformation
Jingfan Guo, Jae Shin Yoon, Shunsuke Saito et al.
Exact Algorithms and Lowerbounds for Multiagent Path Finding: Power of Treelike Topology
Foivos Fioravantes, Dušan Knop, Jan Křišťan et al.
Position: LLMs Can’t Plan, But Can Help Planning in LLM-Modulo Frameworks
Subbarao Kambhampati, Karthik Valmeekam, Lin Guan et al.
Conformal Crystal Graph Transformer with Robust Encoding of Periodic Invariance
Yingheng Wang, Shufeng Kong, John Gregoire et al.
Network Tight Community Detection
Jiayi Deng, Xiaodong Yang, Jun Yu et al.
CI-STHPAN: Pre-trained Attention Network for Stock Selection with Channel-Independent Spatio-Temporal Hypergraph
Hongjie Xia, Huijie Ao, Long Li et al.
Learning from Failure: Improving Meeting Summarization without Good Samples
Ke Wang, Xiutian Zhao, Wei Peng
Efficient Lightweight Image Denoising with Triple Attention Transformer
Yubo Zhou, Jin Lin, Fangchen Ye et al.
Attention-Induced Embedding Imputation for Incomplete Multi-View Partial Multi-Label Classification
Chengliang Liu, Jia Jinlong, Jie Wen et al.
Sample-Level Cross-View Similarity Learning for Incomplete Multi-View Clustering
Suyuan Liu, Junpu Zhang, Yi Wen et al.
Double Stochasticity Gazes Faster: Snap-Shot Decentralized Stochastic Gradient Tracking Methods
Hao Di, Haishan Ye, Xiangyu Chang et al.
Gaze Target Detection by Merging Human Attention and Activity Cues
Yaokun Yang, Yihan Yin, Feng Lu
New Sample Complexity Bounds for Sample Average Approximation in Heavy-Tailed Stochastic Programming
Hongcheng Liu, Jindong Tong
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.
High Fidelity Neural Audio Compression
Yossi Adi, Gabriel Synnaeve, Jade Copet et al.
ResMatch: Residual Attention Learning for Feature Matching
Yuxin Deng, Kaining Zhang, Shihua Zhang et al.
A Foundation Model for Error Correction Codes
Yoni Choukroun, Lior Wolf
IGAMT: Privacy Preserved Electronic Health Record Synthetic Approach with Heterogeneity and Irregularity
Wenjie Wang, Pengfei Tang, Jian Lou et al.
RILA: Reflective and Imaginative Language Agent for Zero-Shot Semantic Audio-Visual Navigation
Zeyuan Yang, LIU JIAGENG, Peihao Chen 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
A Variational Framework for Estimating Continuous Treatment Effects with Measurement Error
Erdun Gao, Howard Bondell, Wei Huang et al.
Complex priors and flexible inference in recurrent circuits with dendritic nonlinearities
Benjamin Lyo, Cristina Savin
Towards Generalization beyond Pointwise Learning: A Unified Information-theoretic Perspective
Yuxin Dong, Tieliang Gong, Hong Chen et al.
3D Hand Sequence Recovery from Real Blurry Images and Event Stream
Joonkyu Park, Gyeongsik Moon, Weipeng Xu et al.
Position: Building Guardrails for Large Language Models Requires Systematic Design
Yi DONG, Ronghui Mu, Gaojie Jin et al.
Locality Preserving Refinement for Shape Matching with Functional Maps
Yifan Xia, Yifan Lu, Yuan Gao et al.
TIKP: Text-to-Image Knowledge Preservation for Continual Semantic Segmentation
Zhidong Yu, Wei Yang, Xike Xie et al.
Hybrid Sharing for Multi-Label Image Classification
Zihao Yin, Chen Gan, Kelei He et al.
SwiftPillars: High-Efficiency Pillar Encoder for Lidar-Based 3D Detection
Xin Jin, Kai Liu, Cong Ma et al.
Sharingan: A Transformer Architecture for Multi-Person Gaze Following
Samy Tafasca, Anshul Gupta, Jean-marc Odobez
RCS-Prompt: Learning Prompt to Rearrange Class Space for Prompt-based Continual Learning
Longrong Yang, Hanbin Zhao, Yunlong Yu et al.
The Devil is in the Neurons: Interpreting and Mitigating Social Biases in Language Models
Yan Liu, Yu Liu, Xiaokang Chen 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
PM-INR: Prior-Rich Multi-Modal Implicit Large-Scale Scene Neural Representation
Yiying Yang, Fukun Yin, Wen Liu et al.
AmortizedPeriod: Attention-based Amortized Inference for Periodicity Identification
Hang Yu, Cong Liao, Ruolan Liu et al.
Improving Non-Transferable Representation Learning by Harnessing Content and Style
Ziming Hong, Zhenyi Wang, Li Shen et al.
Double Buffers CEM-TD3: More Efficient Evolution and Richer Exploration
Sheng Zhu, Chun Shen, Shuai Lü et al.
Neur2RO: Neural Two-Stage Robust Optimization
Justin Dumouchelle, Esther Julien, Jannis Kurtz et al.
MF-CLR: Multi-Frequency Contrastive Learning Representation for Time Series
Jufang Duan, Wei Zheng, Yangzhou Du et al.
Let the Avatar Talk using Texts without Paired Training Data
Xiuzhe Wu, Yang-Tian Sun, Handi Chen et al.
ModWaveMLP: MLP-Based Mode Decomposition and Wavelet Denoising Model to Defeat Complex Structures in Traffic Forecasting
Ke Sun, Pei Liu, Pengfei Li et al.
Explicitly Perceiving and Preserving the Local Geometric Structures for 3D Point Cloud Attack
Daizong Liu, Wei Hu
Tree Cross Attention
Leo Feng, Frederick Tung, Hossein Hajimirsadeghi et al.
Neural Ordinary Differential Equations for Modeling Epidemic Spreading
Michalis Vazirgiannis, Chrysoula Kosma, George Panagopoulos et al.
Learning Hierarchical World Models with Adaptive Temporal Abstractions from Discrete Latent Dynamics
Christian Gumbsch, Noor Sajid, Georg Martius et al.
Barrier Algorithms for Constrained Non-Convex Optimization
Pavel Dvurechenskii, Mathias Staudigl
Earthfarsser: Versatile Spatio-Temporal Dynamical Systems Modeling in One Model
Hao Wu, Yuxuan Liang, Wei Xiong et al.
Learning Chain of Counterfactual Thought for Bias-Robust Vision-Language Reasoning
Yifeng Zhang, Ming Jiang, Qi Zhao
Graph Reasoning Transformers for Knowledge-Aware Question Answering
Ruilin Zhao, Feng Zhao, Liang Hu et al.
Scalable Pre-training of Large Autoregressive Image Models
Alaaeldin Ali, Michal Klein, Shuangfei Zhai et al.
Underspecification in Language Modeling Tasks: A Causality-Informed Study of Gendered Pronoun Resolution
Emily McMilin
TAB: Temporal Accumulated Batch Normalization in Spiking Neural Networks
Haiyan Jiang, Vincent Zoonekynd, Giulia De Masi et al.
Can You Rely on Synthetic Labellers in Preference-Based Reinforcement Learning? It’s Complicated
Katherine Metcalf, Miguel Sarabia, Masha Fedzechkina et al.
Spatially-Aware Transformers for Embodied Agents
Junmo Cho, Jaesik Yoon, Sungjin Ahn
Feature Reuse and Scaling: Understanding Transfer Learning with Protein Language Models
Francesca-Zhoufan Li, Ava Amini, Yisong Yue 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.
Minimax optimality of convolutional neural networks for infinite dimensional input-output problems and separation from kernel methods
Yuto Nishimura, Taiji Suzuki
Progressive High-Frequency Reconstruction for Pan-Sharpening with Implicit Neural Representation
Ge Meng, Jingjia Huang, Yingying Wang et al.
Revisit the Essence of Distilling Knowledge through Calibration
Wen-Shu Fan, Su Lu, Xin-Chun Li et al.
Dynamic Support Information Mining for Category-Agnostic Pose Estimation
Pengfei Ren, Yuanyuan Gao, Haifeng Sun et al.
Bayesian Knowledge Distillation: A Bayesian Perspective of Distillation with Uncertainty Quantification
Luyang Fang, Yongkai Chen, Wenxuan Zhong et al.
Context-Aware Action Recognition: Introducing a Comprehensive Dataset for Behavior Contrast
Tatsuya Sasaki, Yoshiki Ito, Satoshi Kondo
Orthogonal Dictionary Guided Shape Completion Network for Point Cloud
Pingping Cai, Deja Scott, Xiaoguang Li et al.
Cross-Modal Feature Distribution Calibration for Few-Shot Visual Question Answering
From Geometry to Causality- Ricci Curvature and the Reliability of Causal Inference on Networks
Amirhossein Farzam, Allen Tannenbaum, Guillermo Sapiro
EG-NAS: Neural Architecture Search with Fast Evolutionary Exploration
Variable Importance in High-Dimensional Settings Requires Grouping
Yifan Lu, Ziqi Zhang, Chunfeng Yuan et al.
Selective Deep Autoencoder for Unsupervised Feature Selection
Wael Hassanieh, Abdallah Chehade
On Adversarial Training without Perturbing all Examples
Max Losch, Mohamed Omran, David Stutz et al.
Incorporating probabilistic domain knowledge into deep multiple instance learning
Ghadi S. Al Hajj, Aliaksandr Hubin, Chakravarthi Kanduri et al.
Sampling for Beyond-Worst-Case Online Ranking
Qingyun Chen, Sungjin Im, Benjamin Moseley et al.
Accelerating Federated Learning with Quick Distributed Mean Estimation
Ran Ben Basat, Shay Vargaftik, Amit Portnoy et al.
Mayfly: a Neural Data Structure for Graph Stream Summarization
yuan feng, Yukun Cao, Hairu Wang et al.
Electron Microscopy Images as Set of Fragments for Mitochondrial Segmentation
Naisong Luo, Rui Sun, Yuwen Pan 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.
Multi-Cross Sampling and Frequency-Division Reconstruction for Image Compressed Sensing
Heping Song, Jingyao Gong, Hongying Meng 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
When can transformers reason with abstract symbols?
Enric Boix-Adserà, Omid Saremi, Emmanuel Abbe et al.
Decentralized Sum-of-Nonconvex Optimization
Zhuanghua Liu, Bryan Kian Hsiang Low
ProtoComp: Diverse Point Cloud Completion with Controllable Prototype
Xumin Yu, Yanbo Wang, Jie Zhou et al.
On the Viability of Monocular Depth Pre-training for Semantic Segmentation
DONG LAO, Fengyu Yang, Daniel Wang et al.
An Effective Augmented Lagrangian Method for Fine-Grained Multi-View Optimization
Yuze Tan, Hecheng Cai, Shudong Huang et al.
Multiscale Attention Wavelet Neural Operator for Capturing Steep Trajectories in Biochemical Systems
Jiayang Su, Junbo Ma, Songyang Tong et al.
Revisit Self-supervision with Local Structure-from-Motion
Shengjie Zhu, Xiaoming Liu
TMFormer: Token Merging Transformer for Brain Tumor Segmentation with Missing Modalities
Zheyu Zhang, Gang Yang, Yueyi Zhang et al.
Prompting Multi-Modal Image Segmentation with Semantic Grouping
PinNet: Pinpoint Instructive Information for Retrieval Augmented Code-to-Text Generation
Han Fu, Jian Tan, Pinhan Zhang et al.
ArchLock: Locking DNN Transferability at the Architecture Level with a Zero-Cost Binary Predictor
Tong Zhou, Shaolei Ren, Xiaolin Xu
Enhancing Human-AI Collaboration Through Logic-Guided Reasoning
Chengzhi Cao, Yinghao Fu, Sheng Xu et al.
Semi-supervised TEE Segmentation via Interacting with SAM Equipped with Noise-Resilient Prompting
Sen Deng, Yidan Feng, Haoneng Lin et al.
FedCD: Federated Semi-supervised Learning with Class Awareness Balance via Dual Teachers
Yuzhi Liu, Huisi Wu, Jing Qin
Exploring Effective Stimulus Encoding via Vision System Modeling for Visual Prostheses
Chuanqing Wang, Di Wu, Chaoming Fang et al.
Distribution-Conditioned Adversarial Variational Autoencoder for Valid Instrumental Variable Generation
A Doubly Recursive Stochastic Compositional Gradient Descent Method for Federated Multi-Level Compositional Optimization
Hongchang Gao