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07/21/2023
Automatic Data Augmentation Learning using Bilevel Optimization for Histopathological Images
Training a deep learning model to classify histopathological images is c...
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06/01/2023
FigGen: Text to Scientific Figure Generation
The generative modeling landscape has experienced tremendous growth in r...
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02/10/2023
Long-Context Language Decision Transformers and Exponential Tilt for Interactive Text Environments
Text-based game environments are challenging because agents must deal wi...
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10/19/2022
OCR-VQGAN: Taming Text-within-Image Generation
Synthetic image generation has recently experienced significant improvem...
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08/30/2022
Constraining Representations Yields Models That Know What They Don't Know
A well-known failure mode of neural networks corresponds to high confide...
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05/24/2022
Workflow Discovery from Dialogues in the Low Data Regime
Text-based dialogues are now widely used to solve real-world problems. I...
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03/30/2022
Challenges in leveraging GANs for few-shot data augmentation
In this paper, we explore the use of GAN-based few-shot data augmentatio...
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12/02/2021
Neural Point Light Fields
We introduce Neural Point Light Fields that represent scenes implicitly ...
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10/28/2021
Stochastic Mirror Descent: Convergence Analysis and Adaptive Variants via the Mirror Stochastic Polyak Stepsize
We investigate the convergence of stochastic mirror descent (SMD) in rel...
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10/27/2021
A Survey of Self-Supervised and Few-Shot Object Detection
Labeling data is often expensive and time-consuming, especially for task...
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08/21/2021
SSR: Semi-supervised Soft Rasterizer for single-view 2D to 3D Reconstruction
Recent work has made significant progress in learning object meshes with...
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03/18/2021
Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations
Explainability for machine learning models has gained considerable atten...
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11/14/2020
Counting Cows: Tracking Illegal Cattle Ranching From High-Resolution Satellite Imagery
Cattle farming is responsible for 8.8% of greenhouse gas emissions world...
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11/06/2020
Affinity LCFCN: Learning to Segment Fish with Weak Supervision
Aquaculture industries rely on the availability of accurate fish body me...
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09/14/2020
Synbols: Probing Learning Algorithms with Synthetic Datasets
Progress in the field of machine learning has been fueled by the introdu...
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09/14/2020
CVPR 2020 Continual Learning in Computer Vision Competition: Approaches, Results, Current Challenges and Future Directions
In the last few years, we have witnessed a renewed and fast-growing inte...
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07/07/2020
Segmentation of Pulmonary Opacification in Chest CT Scans of COVID-19 Patients
The Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) has rap...
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07/04/2020
A Weakly Supervised Consistency-based Learning Method for COVID-19 Segmentation in CT Images
Acquiring count annotations generally requires less human effort than po...
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06/25/2020
Learning Data Augmentation with Online Bilevel Optimization for Image Classification
Data augmentation is a key practice in machine learning for improving ge...
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06/11/2020
Adaptive Gradient Methods Converge Faster with Over-Parameterization (and you can do a line-search)
As adaptive gradient methods are typically used for training over-parame...
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03/12/2020
Online Fast Adaptation and Knowledge Accumulation: a New Approach to Continual Learning
Learning from non-stationary data remains a great challenge for machine ...
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03/09/2020
Embedding Propagation: Smoother Manifold for Few-Shot Classification
Few-shot classification is challenging because the data distribution of ...
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02/24/2020
Stochastic Polyak Step-size for SGD: An Adaptive Learning Rate for Fast Convergence
We propose a stochastic variant of the classical Polyak step-size (Polya...
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10/11/2019
Fast and Furious Convergence: Stochastic Second Order Methods under Interpolation
We consider stochastic second order methods for minimizing strongly-conv...
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08/30/2019
Class-Based Styling: Real-time Localized Style Transfer with Semantic Segmentation
We propose a Class-Based Styling method (CBS) that can map different sty...
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05/24/2019
Painless Stochastic Gradient: Interpolation, Line-Search, and Convergence Rates
Recent works have shown that stochastic gradient descent (SGD) achieves ...
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07/06/2018
