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08/28/2023
Online Continual Learning on Hierarchical Label Expansion
Continual learning (CL) enables models to adapt to new tasks and environ...
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08/18/2023
Multi-Level Compositional Reasoning for Interactive Instruction Following
Robotic agents performing domestic chores by natural language directives...
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08/14/2023
Context-Aware Planning and Environment-Aware Memory for Instruction Following Embodied Agents
Accomplishing household tasks requires to plan step-by-step actions cons...
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08/11/2023
Cost-effective On-device Continual Learning over Memory Hierarchy with Miro
Continual learning (CL) trains NN models incrementally from a continuous...
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06/11/2023
EaSyGuide : ESG Issue Identification Framework leveraging Abilities of Generative Large Language Models
This paper presents our participation in the FinNLP-2023 shared task on ...
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04/04/2023
MEnsA: Mix-up Ensemble Average for Unsupervised Multi Target Domain Adaptation on 3D Point Clouds
Unsupervised domain adaptation (UDA) addresses the problem of distributi...
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11/18/2022
Ask4Help: Learning to Leverage an Expert for Embodied Tasks
Embodied AI agents continue to become more capable every year with the a...
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04/26/2022
Attentive Fine-Grained Structured Sparsity for Image Restoration
Image restoration tasks have witnessed great performance improvement in ...
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03/29/2022
Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries
Learning under a continuously changing data distribution with incorrect ...
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12/01/2021
Iconary: A Pictionary-Based Game for Testing Multimodal Communication with Drawings and Text
Communicating with humans is challenging for AIs because it requires a s...
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10/19/2021
Online Continual Learning on Class Incremental Blurry Task Configuration with Anytime Inference
Despite rapid advances in continual learning, a large body of research i...
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10/17/2021
Self-Supervised Learning for Binary Networks by Joint Classifier Training
Despite the great success of self-supervised learning with large floatin...
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10/16/2021
BNAS v2: Learning Architectures for Binary Networks with Empirical Improvements
Backbone architectures of most binary networks are well-known floating p...
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10/14/2021
Carousel Memory: Rethinking the Design of Episodic Memory for Continual Learning
Continual Learning (CL) is an emerging machine learning paradigm that ai...
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08/29/2021
Rethinking Deep Image Prior for Denoising
Deep image prior (DIP) serves as a good inductive bias for diverse inver...
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03/31/2021
Rainbow Memory: Continual Learning with a Memory of Diverse Samples
Continual learning is a realistic learning scenario for AI models. Preva...
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12/06/2020
MOCA: A Modular Object-Centric Approach for Interactive Instruction Following
Performing simple household tasks based on language directives is very n...
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11/03/2020
Learning Visual Representations for Transfer Learning by Suppressing Texture
Recent literature has shown that features obtained from supervised train...
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02/17/2020
Learning Architectures for Binary Networks
Backbone architectures of most binary networks are well-known floating p...
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12/03/2019
Learning to Super Resolve Intensity Images from Events
An event camera detects per-pixel intensity difference and produces asyn...
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02/28/2019
Poster: On the Feasibility of Training Neural Networks with Visibly Watermarked Dataset
As there are increasing needs of sharing data for machine learning, ther...
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02/03/2019
Incremental Learning with Maximum Entropy Regularization: Rethinking Forgetting and Intransigence
Incremental learning suffers from two challenging problems; forgetting o...
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01/01/2019
Training with the Invisibles: Obfuscating Images to Share Safely for Learning Visual Recognition Models
High-performance visual recognition systems generally require a large co...
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01/03/2018
ScreenerNet: Learning Curriculum for Neural Networks
We propose to learn a curriculum or a syllabus for supervised learning w...
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12/05/2017
Structured Set Matching Networks for One-Shot Part Labeling
Diagrams often depict complex phenomena and serve as a good test bed for...
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12/09/2016
ActionFlowNet: Learning Motion Representation for Action Recognition
Even with the recent advances in convolutional neural networks (CNN) in ...
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04/15/2016
Learning Temporal Regularity in Video Sequences
Perceiving meaningful activities in a long video sequence is a challengi...
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05/05/2014
Comparing apples to apples in the evaluation of binary coding methods
We discuss methodological issues related to the evaluation of unsupervis...
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01/21/2014