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06/15/2023
Inverse Scaling: When Bigger Isn't Better
Work on scaling laws has found that large language models (LMs) show pre...
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05/16/2023
Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right?
We revisit the common practice of evaluating adaptation of Online Contin...
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05/16/2023
Online Continual Learning Without the Storage Constraint
Online continual learning (OCL) research has primarily focused on mitiga...
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03/20/2023
Computationally Budgeted Continual Learning: What Does Matter?
Continual Learning (CL) aims to sequentially train models on streams of ...
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02/02/2023
Real-Time Evaluation in Online Continual Learning: A New Paradigm
Current evaluations of Continual Learning (CL) methods typically assume ...
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01/17/2022
Evaluating Inexact Unlearning Requires Revisiting Forgetting
Existing works in inexact machine unlearning focus on achieving indistin...
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04/01/2021
No Cost Likelihood Manipulation at Test Time for Making Better Mistakes in Deep Networks
There has been increasing interest in building deep hierarchy-aware clas...
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06/04/2020
Simple Unsupervised Multi-Object Tracking
Multi-object tracking has seen a lot of progress recently, albeit with s...
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11/26/2019
"You might also like this model": Data Driven Approach for Recommending Deep Learning Models for Unknown Image Datasets
For an unknown (new) classification dataset, choosing an appropriate dee...
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09/20/2019
Sampling Bias in Deep Active Classification: An Empirical Study
The exploding cost and time needed for data labeling and model training ...
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04/11/2018
Hybrid Binary Networks: Optimizing for Accuracy, Efficiency and Memory
Binarization is an extreme network compression approach that provides la...
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04/09/2018
Distribution-Aware Binarization of Neural Networks for Sketch Recognition
Deep neural networks are highly effective at a range of computational ta...
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11/23/2017
Deep Expander Networks: Efficient Deep Networks from Graph Theory
Deep Neural Networks, while being unreasonably effective for several vis...
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11/02/2016
Towards Sub-Word Level Compositions for Sentiment Analysis of Hindi-English Code Mixed Text
Sentiment analysis (SA) using code-mixed data from social media has seve...
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10/31/2016
