research
∙
09/04/2023
DRAG: Divergence-based Adaptive Aggregation in Federated learning on Non-IID Data
Local stochastic gradient descent (SGD) is a fundamental approach in ach...
share
research
∙
08/15/2023
Freshness or Accuracy, Why Not Both? Addressing Delayed Feedback via Dynamic Graph Neural Networks
The delayed feedback problem is one of the most pressing challenges in p...
research
∙
08/15/2023
Link-Context Learning for Multimodal LLMs
The ability to learn from context with novel concepts, and deliver appro...
research
∙
08/01/2023
Relation-Aware Distribution Representation Network for Person Clustering with Multiple Modalities
Person clustering with multi-modal clues, including faces, bodies, and v...
research
∙
07/26/2023
Domain Disentanglement with Interpolative Data Augmentation for Dual-Target Cross-Domain Recommendation
The conventional single-target Cross-Domain Recommendation (CDR) aims to...
research
∙
07/24/2023
Exposing the Troublemakers in Described Object Detection
Detecting objects based on language descriptions is a popular task that ...
research
∙
06/27/2023
Shikra: Unleashing Multimodal LLM's Referential Dialogue Magic
In human conversations, individuals can indicate relevant regions within...
research
∙
06/23/2023
Patch-Level Contrasting without Patch Correspondence for Accurate and Dense Contrastive Representation Learning
We propose ADCLR: A ccurate and D ense Contrastive Representation Learni...
research
∙
06/15/2023
Human Preference Score v2: A Solid Benchmark for Evaluating Human Preferences of Text-to-Image Synthesis
Recent text-to-image generative models can generate high-fidelity images...
research
∙
06/13/2023
Retrieve Anyone: A General-purpose Person Re-identification Task with Instructions
Human intelligence can retrieve any person according to both visual and ...
research
∙
05/21/2023
Advancing Referring Expression Segmentation Beyond Single Image
Referring Expression Segmentation (RES) is a widely explored multi-modal...
research
∙
04/10/2023
Regret Distribution in Stochastic Bandits: Optimal Trade-off between Expectation and Tail Risk
We study the trade-off between expectation and tail risk for regret dist...
research
∙
03/25/2023
Better Aligning Text-to-Image Models with Human Preference
Recent years have witnessed a rapid growth of deep generative models, wi...
research
∙
03/23/2023
CORA: Adapting CLIP for Open-Vocabulary Detection with Region Prompting and Anchor Pre-Matching
Open-vocabulary detection (OVD) is an object detection task aiming at de...
research
∙
03/10/2023
HumanBench: Towards General Human-centric Perception with Projector Assisted Pretraining
Human-centric perceptions include a variety of vision tasks, which have ...
research
∙
03/06/2023
UniHCP: A Unified Model for Human-Centric Perceptions
Human-centric perceptions (e.g., pose estimation, human parsing, pedestr...
research
∙
02/22/2023
Saliency Guided Contrastive Learning on Scene Images
Self-supervised learning holds promise in leveraging large numbers of un...
research
∙
02/13/2023
DCMT: A Direct Entire-Space Causal Multi-Task Framework for Post-Click Conversion Estimation
In recommendation scenarios, there are two long-standing challenges, i.e...
research
∙
01/21/2023
ABS: Adaptive Bounded Staleness Converges Faster and Communicates Less
Wall-clock convergence time and communication rounds are critical perfor...
research
∙
10/31/2022
Communication-Efficient Local SGD with Age-Based Worker Selection
A major bottleneck of distributed learning under parameter-server (PS) f...
research
∙
10/07/2022
Simulating single-photon detector array sensors for depth imaging
Single-Photon Avalanche Detector (SPAD) arrays are a rapidly emerging te...
research
∙
10/06/2022
STSyn: Speeding Up Local SGD with Straggler-Tolerant Synchronization
Synchronous local stochastic gradient descent (local SGD) suffers from s...
research
∙
08/15/2022
BoW3D: Bag of Words for Real-time Loop Closing in 3D LiDAR SLAM
Loop closing is a fundamental part of simultaneous localization and mapp...
research
∙
08/01/2022
Counterfactual Intervention Feature Transfer for Visible-Infrared Person Re-identification
Graph-based models have achieved great success in person re-identificati...
research
∙
07/01/2022
COOR-PLT: A hierarchical control model for coordinating adaptive platoons of connected and autonomous vehicles at signal-free intersections based on deep reinforcement learning
Platooning and coordination are two implementation strategies that are f...
research
∙
06/24/2022
Modeling Adaptive Platoon and Reservation Based Autonomous Intersection Control: A Deep Reinforcement Learning Approach
As a strategy to reduce travel delay and enhance energy efficiency, plat...
research
∙
06/13/2022
LinK3D: Linear Keypoints Representation for 3D LiDAR Point Cloud
Feature extraction and matching are the basic parts of many computer vis...
research
∙
06/07/2022
A Simple and Optimal Policy Design with Safety against Heavy-tailed Risk for Multi-armed Bandits
We design new policies that ensure both worst-case optimality for expect...
research
∙
05/10/2022
Domain Invariant Masked Autoencoders for Self-supervised Learning from Multi-domains
Generalizing learned representations across significantly different visu...
research
∙
04/28/2022
DOTIN: Dropping Task-Irrelevant Nodes for GNNs
Scalability is an important consideration for deep graph neural networks...
research
∙
03/17/2022
Time Dependency, Data Flow, and Competitive Advantage
Data is fundamental to machine learning-based products and services and ...
research
∙
01/12/2022
Adaptive Worker Grouping For Communication-Efficient and Straggler-Tolerant Distributed SGD
Wall-clock convergence time and communication load are key performance m...
research
∙
12/29/2021
GPS: A Policy-driven Sampling Approach for Graph Representation Learning
Graph representation learning has drawn increasing attention in recent y...
research
∙
12/16/2021
Feature Erasing and Diffusion Network for Occluded Person Re-Identification
Occluded person re-identification (ReID) aims at matching occluded perso...
research
∙
12/10/2021
DronePose: The identification, segmentation, and orientation detection of drones via neural networks
The growing ubiquity of drones has raised concerns over the ability of t...
research
∙
12/01/2021
Revisiting the Transferability of Supervised Pretraining: an MLP Perspective
The pretrain-finetune paradigm is a classical pipeline in visual learnin...
research
∙
10/29/2021
Deep inference of latent dynamics with spatio-temporal super-resolution using selective backpropagation through time
Modern neural interfaces allow access to the activity of up to a million...
research
∙
10/13/2021
Statistical CSI-Based Transmission Design for Reconfigurable Intelligent Surface-aided Massive MIMO Systems with Hardware Impairments
We consider a reconfigurable intelligent surface (RIS)-aided massive mul...
research
∙
10/01/2021
Crashworthiness design of 3D lattice-structure filled thin-walled tubes based on data mining
Lattice structures and thin-walled tubes are two types of energy-absorbe...
research
∙
09/08/2021
Temporal RoI Align for Video Object Recognition
Video object detection is challenging in the presence of appearance dete...
research
∙
08/18/2021
A Unified Framework for Cross-Domain and Cross-System Recommendations
Cross-Domain Recommendation (CDR) and Cross-System Recommendation (CSR) ...
research
∙
06/28/2021
Dynamic Planning and Learning under Recovering Rewards
Motivated by emerging applications such as live-streaming e-commerce, pr...
research
∙
05/28/2021
Improving Facial Attribute Recognition by Group and Graph Learning
Exploiting the relationships between attributes is a key challenge for i...
research
∙
05/26/2021
Multiple Domain Experts Collaborative Learning: Multi-Source Domain Generalization For Person Re-Identification
Recent years have witnessed significant progress in person re-identifica...
research
∙
05/17/2021
Fast and Accurate Quantized Camera Scene Detection on Smartphones, Mobile AI 2021 Challenge: Report
Camera scene detection is among the most popular computer vision problem...
research
∙
03/02/2021
Cross-Domain Recommendation: Challenges, Progress, and Prospects
To address the long-standing data sparsity problem in recommender system...
research
∙
01/03/2021
Consensus-Guided Correspondence Denoising
Correspondence selection between two groups of feature points aims to co...
research
∙
11/19/2020
Learning in School: Multi-teacher Knowledge Inversion for Data-Free Quantization
User data confidentiality protection is becoming a rising challenge in t...
research
∙
09/14/2020
A Deep Framework for Cross-Domain and Cross-System Recommendations
Cross-Domain Recommendation (CDR) and Cross-System Recommendations (CSR)...
research
∙
07/04/2020
