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01/13/2021
A*HAR: A New Benchmark towards Semi-supervised learning for Class-imbalanced Human Activity Recognition
Despite the vast literature on Human Activity Recognition (HAR) with wea...
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07/09/2020
Learning to Prune Deep Neural Networks via Reinforcement Learning
This paper proposes PuRL - a deep reinforcement learning (RL) based algo...
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06/25/2020
Empirical Analysis of Overfitting and Mode Drop in GAN Training
We examine two key questions in GAN training, namely overfitting and mod...
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04/16/2020
Classification Representations Can be Reused for Downstream Generations
Contrary to the convention of using supervision for class-conditioned ge...
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09/17/2019
A*3D Dataset: Towards Autonomous Driving in Challenging Environments
With the increasing global popularity of self-driving cars, there is an ...
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02/09/2019
Venn GAN: Discovering Commonalities and Particularities of Multiple Distributions
We propose a GAN design which models multiple distributions effectively ...
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01/04/2019
Dataflow-based Joint Quantization of Weights and Activations for Deep Neural Networks
This paper addresses a challenging problem - how to reduce energy consum...
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12/19/2018
Semi-Supervised Deep Learning for Abnormality Classification in Retinal Images
Supervised deep learning algorithms have enabled significant performance...
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11/12/2018
Holistic Multi-modal Memory Network for Movie Question Answering
Answering questions according to multi-modal context is a challenging pr...
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08/22/2018
Deep Adaptive Temporal Pooling for Activity Recognition
Deep neural networks have recently achieved competitive accuracy for hum...
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07/11/2018
Manifold regularization with GANs for semi-supervised learning
Generative Adversarial Networks are powerful generative models that are ...
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07/07/2018
Optimistic mirror descent in saddle-point problems: Going the extra (gradient) mile
Owing to their connection with generative adversarial networks (GANs), s...
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07/07/2018
Mirror descent in saddle-point problems: Going the extra (gradient) mile
Owing to their connection with generative adversarial networks (GANs), s...
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06/12/2018
The Unusual Effectiveness of Averaging in GAN Training
We show empirically that the optimal strategy of parameter averaging in ...
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03/06/2018
Online Deep Learning: Growing RBM on the fly
We propose a novel online learning algorithm for Restricted Boltzmann Ma...
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11/06/2017
End-to-End Video Classification with Knowledge Graphs
Video understanding has attracted much research attention especially sin...
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07/18/2017
Pruning Convolutional Neural Networks for Image Instance Retrieval
In this work, we focus on the problem of image instance retrieval with d...
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06/17/2017
Truly Multi-modal YouTube-8M Video Classification with Video, Audio, and Text
The YouTube-8M video classification challenge requires teams to classify...
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05/26/2017
Deep Learning for Lung Cancer Detection: Tackling the Kaggle Data Science Bowl 2017 Challenge
We present a deep learning framework for computer-aided lung cancer diag...
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01/18/2017
Compression of Deep Neural Networks for Image Instance Retrieval
Image instance retrieval is the problem of retrieving images from a data...
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03/15/2016
Nested Invariance Pooling and RBM Hashing for Image Instance Retrieval
The goal of this work is the computation of very compact binary hashes f...
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01/25/2016
Egocentric Activity Recognition with Multimodal Fisher Vector
With the increasing availability of wearable devices, research on egocen...
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01/09/2016
Group Invariant Deep Representations for Image Instance Retrieval
Most image instance retrieval pipelines are based on comparison of vecto...
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11/10/2015
Tiny Descriptors for Image Retrieval with Unsupervised Triplet Hashing
A typical image retrieval pipeline starts with the comparison of global ...
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01/30/2015
Co-Regularized Deep Representations for Video Summarization
Compact keyframe-based video summaries are a popular way of generating v...
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01/20/2015
