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08/30/2023
FPTQ: Fine-grained Post-Training Quantization for Large Language Models
In the era of large-scale language models, the substantial parameter siz...
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08/26/2023
Modeling Programmer Attention as Scanpath Prediction
This paper launches a new effort at modeling programmer attention by pre...
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08/23/2023
Multi-scale Transformer Pyramid Networks for Multivariate Time Series Forecasting
Multivariate Time Series (MTS) forecasting involves modeling temporal de...
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08/21/2023
Dataset Quantization
State-of-the-art deep neural networks are trained with large amounts (mi...
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08/21/2023
QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection
Multi-view 3D detection based on BEV (bird-eye-view) has recently achiev...
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08/08/2023
Cumulative Reasoning with Large Language Models
While language models are powerful and versatile, they often fail to add...
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07/16/2023
GeoGPT: Understanding and Processing Geospatial Tasks through An Autonomous GPT
Decision-makers in GIS need to combine a series of spatial algorithms an...
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07/01/2023
Spatial-Temporal Enhanced Transformer Towards Multi-Frame 3D Object Detection
The Detection Transformer (DETR) has revolutionized the design of CNN-ba...
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06/27/2023
CARMA: Context-Aware Runtime Reconfiguration for Energy-Efficient Sensor Fusion
Autonomous systems (AS) are systems that can adapt and change their beha...
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06/15/2023
SplatFlow: Learning Multi-frame Optical Flow via Splatting
Occlusion problem remains a key challenge in Optical Flow Estimation (OF...
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05/31/2023
TOFG: A Unified and Fine-Grained Environment Representation in Autonomous Driving
In autonomous driving, an accurate understanding of environment, e.g., t...
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05/27/2023
Kernel-SSL: Kernel KL Divergence for Self-Supervised Learning
Contrastive learning usually compares one positive anchor sample with lo...
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05/22/2023
Imbalance-Agnostic Source-Free Domain Adaptation via Avatar Prototype Alignment
Source-free Unsupervised Domain Adaptation (SF-UDA) aims to adapt a well...
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05/17/2023
RelationMatch: Matching In-batch Relationships for Semi-supervised Learning
Semi-supervised learning has achieved notable success by leveraging very...
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04/26/2023
SEAL: Simultaneous Label Hierarchy Exploration And Learning
Label hierarchy is an important source of external knowledge that can en...
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03/27/2023
Contrastive Learning Is Spectral Clustering On Similarity Graph
Contrastive learning is a powerful self-supervised learning method, but ...
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03/26/2023
Disentangling Writer and Character Styles for Handwriting Generation
Training machines to synthesize diverse handwritings is an intriguing ta...
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02/24/2023
Towards Stable Test-Time Adaptation in Dynamic Wild World
Test-time adaptation (TTA) has shown to be effective at tackling distrib...
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01/22/2023
Bidirectional Propagation for Cross-Modal 3D Object Detection
Recent works have revealed the superiority of feature-level fusion for c...
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12/20/2022
A Comprehensive Study and Comparison of the Robustness of 3D Object Detectors Against Adversarial Attacks
Deep learning-based 3D object detectors have made significant progress i...
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11/25/2022
Expanding Small-Scale Datasets with Guided Imagination
The power of Deep Neural Networks (DNNs) depends heavily on the training...
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10/31/2022
Consistent and Truthful Interpretation with Fourier Analysis
For many interdisciplinary fields, ML interpretations need to be consist...
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10/25/2022
Moment Estimation for Nonparametric Mixture Models Through Implicit Tensor Decomposition
We present an alternating least squares type numerical optimization sche...
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10/17/2022
Dual-Curriculum Teacher for Domain-Inconsistent Object Detection in Autonomous Driving
Object detection for autonomous vehicles has received increasing attenti...
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10/11/2022
Leveraging Artificial Intelligence on Binary Code Comprehension
Understanding binary code is an essential but complex software engineeri...
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10/11/2022
COMBO: Pre-Training Representations of Binary Code Using Contrastive Learning
Compiled software is delivered as executable binary code. Developers wri...
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08/25/2022
Multi-Scale Multi-Target Domain Adaptation for Angle Closure Classification
Deep learning (DL) has made significant progress in angle closure classi...
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08/17/2022
ASTRO: An AST-Assisted Approach for Generalizable Neural Clone Detection
Neural clone detection has attracted the attention of software engineeri...
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08/11/2022
Quantized Adaptive Subgradient Algorithms and Their Applications
Data explosion and an increase in model size drive the remarkable advanc...
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08/02/2022
CTooth+: A Large-scale Dental Cone Beam Computed Tomography Dataset and Benchmark for Tooth Volume Segmentation
Accurate tooth volume segmentation is a prerequisite for computer-aided ...
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07/22/2022
Prototype-Guided Continual Adaptation for Class-Incremental Unsupervised Domain Adaptation
This paper studies a new, practical but challenging problem, called Clas...
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07/13/2022
Unsupervised Visual Representation Learning by Synchronous Momentum Grouping
In this paper, we propose a genuine group-level contrastive visual repre...
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07/06/2022
GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation
The inherent ambiguity in ground-truth annotations of 3D bounding boxes ...
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07/05/2022
PKD: General Distillation Framework for Object Detectors via Pearson Correlation Coefficient
Knowledge distillation(KD) is a widely-used technique to train compact m...
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04/20/2022
Modeling Review History for Reviewer Recommendation:A Hypergraph Approach
Modern code review is a critical and indispensable practice in a pull-re...
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04/06/2022
Efficient Test-Time Model Adaptation without Forgetting
Test-time adaptation (TTA) seeks to tackle potential distribution shifts...
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03/26/2022
Semantic Segmentation by Early Region Proxy
Typical vision backbones manipulate structured features. As a compromise...
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03/21/2022
Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds
We study the problem of efficient object detection of 3D LiDAR point clo...
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03/21/2022
Boost Test-Time Performance with Closed-Loop Inference
Conventional deep models predict a test sample with a single forward pro...
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12/26/2021
Energy-Efficient Trajectory Design for UAV-Aided Maritime Data Collection in Wind
Unmanned aerial vehicles (UAVs), especially fixed-wing ones that withsta...
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12/10/2021
A Generative Car-following Model Conditioned On Driving Styles
Car-following (CF) modeling, an essential component in simulating human ...
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12/05/2021
Adaptive Channel Encoding for Point Cloud Analysis
Attention mechanism plays a more and more important role in point cloud ...
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11/22/2021
REPLICA: Enhanced Feature Pyramid Network by Local Image Translation and Conjunct Attention for High-Resolution Breast Tumor Detection
We introduce an improvement to the feature pyramid network of standard o...
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10/20/2021
Detecting and Identifying Optical Signal Attacks on Autonomous Driving Systems
For autonomous driving, an essential task is to detect surrounding objec...
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10/09/2021
Deep Long-Tailed Learning: A Survey
Deep long-tailed learning, one of the most challenging problems in visua...
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08/20/2021
Dual-Neighborhood Deep Fusion Network for Point Cloud Analysis
Convolutional neural network has made remarkable achievements in classif...
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07/31/2021
Opinion Prediction with User Fingerprinting
Opinion prediction is an emerging research area with diverse real-world ...
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07/21/2021
Communication Lower Bounds for Nested Bilinear Algorithms
We develop lower bounds on communication in the memory hierarchy or betw...
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07/20/2021
Test-Agnostic Long-Tailed Recognition by Test-Time Aggregating Diverse Experts with Self-Supervision
Existing long-tailed recognition methods, aiming to train class-balance ...
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07/01/2021