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06/21/2023
Constant Memory Attention Block
Modern foundation model architectures rely on attention mechanisms to ef...
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05/26/2023
DynaShare: Task and Instance Conditioned Parameter Sharing for Multi-Task Learning
Multi-task networks rely on effective parameter sharing to achieve robus...
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05/23/2023
Constant Memory Attentive Neural Processes
Neural Processes (NPs) are efficient methods for estimating predictive u...
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03/31/2023
Ranking Regularization for Critical Rare Classes: Minimizing False Positives at a High True Positive Rate
In many real-world settings, the critical class is rare and a missed det...
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01/27/2023
Meta Temporal Point Processes
A temporal point process (TPP) is a stochastic process where its realiza...
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11/19/2022
Gumbel-Softmax Selective Networks
ML models often operate within the context of a larger system that can a...
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05/30/2022
RankSim: Ranking Similarity Regularization for Deep Imbalanced Regression
Data imbalance, in which a plurality of the data samples come from a sma...
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06/20/2021
Heterogeneous Multi-task Learning with Expert Diversity
Predicting multiple heterogeneous biological and medical targets is a ch...
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04/24/2021
Piggyback GAN: Efficient Lifelong Learning for Image Conditioned Generation
Humans accumulate knowledge in a lifelong fashion. Modern deep neural ne...
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03/17/2021
Learning Discriminative Prototypes with Dynamic Time Warping
Dynamic Time Warping (DTW) is widely used for temporal data processing. ...
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07/23/2019
Similarity-Preserving Knowledge Distillation
Knowledge distillation is a widely applicable technique for training a s...
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10/01/2018
Where and When to Look? Spatio-temporal Attention for Action Recognition in Videos
Inspired by the observation that humans are able to process videos effic...
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10/28/2017
Autonomous Mobile Robot Navigation in Uneven and Unstructured Indoor Environments
Robots are increasingly operating in indoor environments designed for an...
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10/28/2017
Exploiting Points and Lines in Regression Forests for RGB-D Camera Relocalization
Camera relocalization plays a vital role in many robotics and computer v...
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10/27/2017
Multi-level Residual Networks from Dynamical Systems View
Deep residual networks (ResNets) and their variants are widely used in m...
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10/22/2017
Backtracking Regression Forests for Accurate Camera Relocalization
Camera relocalization plays a vital role in many robotics and computer v...
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07/28/2017
Fine-Pruning: Joint Fine-Tuning and Compression of a Convolutional Network with Bayesian Optimization
When approaching a novel visual recognition problem in a specialized ima...
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06/03/2017
