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07/07/2023
URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates
Representation learning has significantly driven the field to develop pr...
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07/04/2023
ProPILE: Probing Privacy Leakage in Large Language Models
The rapid advancement and widespread use of large language models (LLMs)...
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05/31/2023
A Bayesian Perspective On Training Data Attribution
Training data attribution (TDA) techniques find influential training dat...
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05/26/2023
Playing repeated games with Large Language Models
Large Language Models (LLMs) are transforming society and permeating int...
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03/30/2023
Neglected Free Lunch – Learning Image Classifiers Using Annotation Byproducts
Supervised learning of image classifiers distills human knowledge into a...
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02/06/2023
Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs
Contrastively trained encoders have recently been proven to invert the d...
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11/04/2022
SelecMix: Debiased Learning by Contradicting-pair Sampling
Neural networks trained with ERM (empirical risk minimization) sometimes...
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10/16/2022
Scratching Visual Transformer's Back with Uniform Attention
The favorable performance of Vision Transformers (ViTs) is often attribu...
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05/30/2022
Dataset Condensation via Efficient Synthetic-Data Parameterization
The great success of machine learning with massive amounts of data comes...
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04/07/2022
ECCV Caption: Correcting False Negatives by Collecting Machine-and-Human-verified Image-Caption Associations for MS-COCO
Image-Test matching (ITM) is a common task for evaluating the quality of...
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03/08/2022
Weakly Supervised Semantic Segmentation using Out-of-Distribution Data
Weakly supervised semantic segmentation (WSSS) methods are often built o...
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12/16/2021
ALP: Data Augmentation using Lexicalized PCFGs for Few-Shot Text Classification
Data augmentation has been an important ingredient for boosting performa...
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10/06/2021
Which Shortcut Cues Will DNNs Choose? A Study from the Parameter-Space Perspective
Deep neural networks (DNNs) often rely on easy-to-learn discriminatory f...
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06/15/2021
Keep CALM and Improve Visual Feature Attribution
The class activation mapping, or CAM, has been the cornerstone of featur...
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06/08/2021
Neural Hybrid Automata: Learning Dynamics with Multiple Modes and Stochastic Transitions
Effective control and prediction of dynamical systems often require appr...
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03/30/2021
Rethinking Spatial Dimensions of Vision Transformers
Vision Transformer (ViT) extends the application range of transformers f...
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01/13/2021
Probabilistic Embeddings for Cross-Modal Retrieval
Cross-modal retrieval methods build a common representation space for sa...
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01/13/2021
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels
ImageNet has been arguably the most popular image classification benchma...
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12/07/2020
VideoMix: Rethinking Data Augmentation for Video Classification
State-of-the-art video action classifiers often suffer from overfitting....
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07/08/2020
Evaluation for Weakly Supervised Object Localization: Protocol, Metrics, and Datasets
Weakly-supervised object localization (WSOL) has gained popularity over ...
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06/15/2020
Slowing Down the Weight Norm Increase in Momentum-based Optimizers
Normalization techniques, such as batch normalization (BN), have led to ...
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03/09/2020
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods
Despite apparent human-level performances of deep neural networks (DNN),...
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02/23/2020
Reliable Fidelity and Diversity Metrics for Generative Models
Devising indicative evaluation metrics for the image generation task rem...
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01/21/2020
Evaluating Weakly Supervised Object Localization Methods Right
Weakly-supervised object localization (WSOL) has gained popularity over ...
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10/10/2019
On Recognizing Texts of Arbitrary Shapes with 2D Self-Attention
Scene text recognition (STR) is the task of recognizing character sequen...
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10/07/2019
Learning De-biased Representations with Biased Representations
Many machine learning algorithms are trained and evaluated by splitting ...
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05/13/2019
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Regional dropout strategies have been proposed to enhance the performanc...
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04/03/2019
What is wrong with scene text recognition model comparisons? dataset and model analysis
Many new proposals for scene text recognition (STR) models have been int...
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09/30/2018
Modeling Uncertainty with Hedged Instance Embedding
Instance embeddings are an efficient and versatile image representation ...
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05/31/2018
Sequential Attacks on Agents for Long-Term Adversarial Goals
Reinforcement learning (RL) has advanced greatly in the past few years w...
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05/15/2018
Understanding and Controlling User Linkability in Decentralized Learning
Machine Learning techniques are widely used by online services (e.g. Goo...
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11/24/2017
Natural and Effective Obfuscation by Head Inpainting
As more and more personal photos are shared online, being able to obfusc...
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11/06/2017
Whitening Black-Box Neural Networks
Many deployed learned models are black boxes: given input, returns outpu...
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10/09/2017
Person Recognition in Social Media Photos
People nowadays share large parts of their personal lives through social...
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04/05/2017
Generating Descriptions with Grounded and Co-Referenced People
Learning how to generate descriptions of images or videos received major...
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03/28/2017
Adversarial Image Perturbation for Privacy Protection -- A Game Theory Perspective
Users like sharing personal photos with others through social media. At ...
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01/28/2017
Exploiting saliency for object segmentation from image level labels
There have been remarkable improvements in the semantic labelling task i...
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07/28/2016
Faceless Person Recognition; Privacy Implications in Social Media
As we shift more of our lives into the virtual domain, the volume of dat...
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09/11/2015