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08/10/2023
Quantile regression outcome-adaptive lasso: variable selection for causal quantile treatment effect estimation
Quantile treatment effects (QTEs) can characterize the potentially heter...
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06/28/2023
DUET: 2D Structured and Approximately Equivariant Representations
Multiview Self-Supervised Learning (MSSL) is based on learning invarianc...
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05/24/2023
Semi-Supervised and Long-Tailed Object Detection with CascadeMatch
This paper focuses on long-tailed object detection in the semi-supervise...
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03/07/2023
MAST: Masked Augmentation Subspace Training for Generalizable Self-Supervised Priors
Recent Self-Supervised Learning (SSL) methods are able to learn feature ...
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10/13/2022
Unified Vision and Language Prompt Learning
Prompt tuning, a parameter- and data-efficient transfer learning paradig...
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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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07/15/2022
Position Prediction as an Effective Pretraining Strategy
Transformers have gained increasing popularity in a wide range of applic...
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07/05/2022
Efficient Representation Learning via Adaptive Context Pooling
Self-attention mechanisms model long-range context by using pairwise att...
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03/31/2022
An Empirical Study of Language Model Integration for Transducer based Speech Recognition
Utilizing text-only data with an external language model (LM) in end-to-...
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03/22/2022
Open-Vocabulary DETR with Conditional Matching
Open-vocabulary object detection, which is concerned with the problem of...
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11/30/2021
A Scheme of Channel Prediction Based on Artificial Neural Network
Accurate channel modeling is the foundation of communication system desi...
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05/28/2021
An Attention Free Transformer
We introduce Attention Free Transformer (AFT), an efficient variant of T...
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05/16/2021
Learning Financial Network with Focally Sparse Structure
This paper studies the estimation of network connectedness with focally ...
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04/21/2021
MetricOpt: Learning to Optimize Black-Box Evaluation Metrics
We study the problem of directly optimizing arbitrary non-differentiable...
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04/06/2021
Radio Communication Scenarios in 5G-Railways
With the rapid development of railways, especially high-speed railways, ...
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02/25/2021
FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation
Recent methods for long-tailed instance segmentation still struggle on r...
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05/15/2019
Addressing the Loss-Metric Mismatch with Adaptive Loss Alignment
In most machine learning training paradigms a fixed, often handcrafted, ...
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05/03/2019
Inter-Cell Antenna Calibration for Coherent Joint Transmission in TDD System
In this work the modeling and calibration method of reciprocity error in...
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03/27/2019
Dense Intrinsic Appearance Flow for Human Pose Transfer
We present a novel approach for the task of human pose transfer, which a...
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07/30/2018
Pose Guided Human Video Generation
Due to the emergence of Generative Adversarial Networks, video synthesis...
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06/13/2018
LASSO-Driven Inference in Time and Space
We consider the estimation and inference in a system of high-dimensional...
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06/01/2018
Deep Imbalanced Learning for Face Recognition and Attribute Prediction
Data for face analysis often exhibit highly-skewed class distribution, i...
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04/24/2018
Mask-aware Photorealistic Face Attribute Manipulation
The task of face attribute manipulation has found increasing application...
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03/11/2018
Learning Partially Structured Environmental Dynamics for Marine Robotic Navigation
We investigate the scenario that a robot needs to reach a designated goa...
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12/07/2017
CNNs are Globally Optimal Given Multi-Layer Support
Stochastic Gradient Descent (SGD) is the central workhorse for training ...
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08/09/2017
Learning Policies for Adaptive Tracking with Deep Feature Cascades
Visual object tracking is a fundamental and time-critical vision task. R...
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08/09/2017
Learning to Disambiguate by Asking Discriminative Questions
The ability to ask questions is a powerful tool to gather information in...
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03/17/2017
Need for Speed: A Benchmark for Higher Frame Rate Object Tracking
In this paper, we propose the first higher frame rate video dataset (cal...
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10/27/2016
Local Similarity-Aware Deep Feature Embedding
Existing deep embedding methods in vision tasks are capable of learning ...
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02/03/2016
