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08/03/2023
Get the Best of Both Worlds: Improving Accuracy and Transferability by Grassmann Class Representation
We generalize the class vectors found in neural networks to linear subsp...
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09/20/2022
Collaborative Anomaly Detection
In recommendation systems, items are likely to be exposed to various use...
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04/07/2022
Class-Incremental Learning with Strong Pre-trained Models
Class-incremental learning (CIL) has been widely studied under the setti...
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03/21/2022
ViM: Out-Of-Distribution with Virtual-logit Matching
Most of the existing Out-Of-Distribution (OOD) detection algorithms depe...
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08/14/2021
MMOCR: A Comprehensive Toolbox for Text Detection, Recognition and Understanding
We present MMOCR-an open-source toolbox which provides a comprehensive p...
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07/16/2021
Representation Consolidation for Training Expert Students
Traditionally, distillation has been used to train a student model to em...
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10/21/2020
Learning Curves for Analysis of Deep Networks
A learning curve models a classifier's test error as a function of the n...
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02/02/2020
Regularizing Reasons for Outfit Evaluation with Gradient Penalty
In this paper, we build an outfit evaluation system which provides feedb...
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12/18/2019
Dreaming to Distill: Data-free Knowledge Transfer via DeepInversion
We introduce DeepInversion, a new method for synthesizing images from th...
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10/30/2019
Policy Continuation with Hindsight Inverse Dynamics
Solving goal-oriented tasks is an important but challenging problem in r...
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09/15/2019
Biased Estimates of Advantages over Path Ensembles
The estimation of advantage is crucial for a number of reinforcement lea...
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08/16/2019
Anchor Tasks: Inexpensive, Shared, and Aligned Tasks for Domain Adaptation
We introduce a novel domain adaptation formulation from synthetic datase...
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04/09/2018
G-Distillation: Reducing Overconfident Errors on Novel Samples
Counter to the intuition that unfamiliarity should lead to lack of confi...
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01/08/2018
Deep Nearest Class Mean Model for Incremental Odor Classification
In recent years, more and more machine learning algorithms have been app...
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10/25/2017
Complete 3D Scene Parsing from Single RGBD Image
Inferring the location, shape, and class of each object in a single imag...
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09/07/2017
Integrating Specialized Classifiers Based on Continuous Time Markov Chain
Specialized classifiers, namely those dedicated to a subset of classes, ...
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11/17/2016
PolyNet: A Pursuit of Structural Diversity in Very Deep Networks
A number of studies have shown that increasing the depth or width of con...
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06/29/2016