Alvaro Soto
24 papers · 2013–2025 · 10 conferences · across top CS/AI conferences
Achievements
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Academic Marathon
(12)
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Hot Topic Early Bird
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Cross-Pollinator
(10)
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(103)
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Conference Pioneer
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Century Club
(24)
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(10)
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Trend Setter
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The Questioner
(2)
Conferences
ACL (7)
CVPR (6)
ECCV (2)
EMNLP (2)
IJCNLP (2)
AACL (1)
ICCV (1)
IJCAI (1)
NIPS (1)
RSS (1)
Top co-authors
Research topics
Keywords
catastrophic forgetting
(4)
continual learning
(3)
question answering
(3)
medical imaging
(2)
memory sampling
(2)
attention mechanism
(2)
adaptive computation
(2)
action recognition
(2)
representation learning
(2)
max-margin learning
(2)
experience replay
(2)
lifelong language learning
(2)
knowledge distillation
(2)
text classification
(2)
visual reasoning
(2)
parameter efficiency
(2)
self-supervised learning
(2)
human activity recognition
(1)
sparse coding
(1)
feature extraction
(1)
Papers
Data Distributional Properties As Inductive Bias for Systematic Generalization
CVPR 2025
Tracr-Injection: Distilling Algorithms into Pre-trained Language Models
ACL 2025
iHealth-Chile-3&2 at RRG24: Template Based Report Generation
ACL 2024
Extracting and Encoding: Leveraging Large Language Models and Medical Knowledge to Enhance Radiological Text Representation
ACL 2024
PIVOT: Prompting for Video Continual Learning
CVPR 2023
A Memory Model for Question Answering from Streaming Data Supported by Rehearsal and Anticipation of Coreference Information
ACL 2023
Bridging the Visual Semantic Gap in VLN via Semantically Richer Instructions
ECCV 2022
How Relevant is Selective Memory Population in Lifelong Language Learning?
IJCNLP 2022
DACT-BERT: Differentiable Adaptive Computation Time for an Efficient BERT Inference
ACL 2022
How Relevant is Selective Memory Population in Lifelong Language Learning?
AACL 2022
Inspecting the concept knowledge graph encoded by modern language models
IJCNLP 2021
Augmenting BERT-style Models with Predictive Coding to Improve Discourse-level Representations
EMNLP 2021
Optimizing Reusable Knowledge for Continual Learning via Metalearning
NIPS 2021
Inspecting the concept knowledge graph encoded by modern language models
ACL 2021
Differentiable Adaptive Computation Time for Visual Reasoning
CVPR 2020
Translating Natural Language Instructions for Behavioral Robot Navigation with a Multi-Head Attention Mechanism
ACL 2020
A Behavioral Approach to Visual Navigation with Graph Localization Networks
RSS 2019
Translating Navigation Instructions in Natural Language to a High-Level Plan for Behavioral Robot Navigation
EMNLP 2018
End-to-End Joint Semantic Segmentation of Actors and Actions in Video
ECCV 2018
How a General-Purpose Commonsense Ontology can Improve Performance of Learning-Based Image Retrieval
IJCAI 2017
A Hierarchical Pose-Based Approach to Complex Action Understanding Using Dictionaries of Actionlets and Motion Poselets
CVPR 2016
Action Recognition in Video Using Sparse Coding and Relative Features
CVPR 2016
Discriminative Hierarchical Modeling of Spatio-Temporally Composable Human Activities
CVPR 2014
Hierarchical Joint Max-Margin Learning of Mid and Top Level Representations for Visual Recognition
ICCV 2013