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10/23/2022
Pushing the Efficiency Limit Using Structured Sparse Convolutions
Weight pruning is among the most popular approaches for compressing deep...
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10/20/2021
Class Incremental Online Streaming Learning
A wide variety of methods have been developed to enable lifelong learnin...
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10/05/2021
Hypernetworks for Continual Semi-Supervised Learning
Learning from data sequentially arriving, possibly in a non i.i.d. way, ...
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06/12/2021
Knowledge Consolidation based Class Incremental Online Learning with Limited Data
We propose a novel approach for class incremental online learning in a l...
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03/25/2021
Efficient Feature Transformations for Discriminative and Generative Continual Learning
As neural networks are increasingly being applied to real-world applicat...
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03/06/2021
Efficient Continual Adaptation for Generative Adversarial Networks
We present a continual learning approach for generative adversarial netw...
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02/23/2021
Meta-Learned Attribute Self-Gating for Continual Generalized Zero-Shot Learning
Zero-shot learning (ZSL) has been shown to be a promising approach to ge...
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11/14/2020
Towards Zero-Shot Learning with Fewer Seen Class Examples
We present a meta-learning based generative model for zero-shot learning...
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07/23/2020
ZSCRGAN: A GAN-based Expectation Maximization Model for Zero-Shot Retrieval of Images from Textual Descriptions
Most existing algorithms for cross-modal Information Retrieval are based...
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01/18/2020
Stacked Adversarial Network for Zero-Shot Sketch based Image Retrieval
Conventional approaches to Sketch-Based Image Retrieval (SBIR) assume th...
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01/15/2020
A "Network Pruning Network" Approach to Deep Model Compression
We present a filter pruning approach for deep model compression, using a...
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09/10/2019
A Meta-Learning Framework for Generalized Zero-Shot Learning
Learning to classify unseen class samples at test time is popularly refe...
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05/11/2019
Play and Prune: Adaptive Filter Pruning for Deep Model Compression
While convolutional neural networks (CNN) have achieved impressive perfo...
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04/18/2019
Generative Model for Zero-Shot Sketch-Based Image Retrieval
We present a probabilistic model for Sketch-Based Image Retrieval (SBIR)...
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03/11/2019
HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs
We present a novel deep learning architecture in which the convolution o...
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11/26/2018
Leveraging Filter Correlations for Deep Model Compression
We present a filter correlation based model compression approach for dee...
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01/27/2018
A Generative Approach to Zero-Shot and Few-Shot Action Recognition
We present a generative framework for zero-shot action recognition where...
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12/11/2017
Generalized Zero-Shot Learning via Synthesized Examples
We present a generative framework for generalized zero-shot learning whe...
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11/15/2017
Zero-Shot Learning via Class-Conditioned Deep Generative Models
We present a deep generative model for learning to predict classes not s...
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07/25/2017