Rahul Ramesh
12 papers · 2019–2025 · 6 venues · across top CS/AI venues
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Machine Learning
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Deep Learning
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Natural Language Processing
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representation learning
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generalization error
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transformer
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semi-supervised learning
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large language model
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feature learning
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bayesian inference
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contrastive learning
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ensemble learning
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transfer learning
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zero-shot learning
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text classification
(1)
statistical learning theory
(1)
knowledge editing
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prompt engineering
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domain generalization
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question answering
(1)
named entity recognition
(1)
pac learning
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data augmentation
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Papers
From Linearity to Non-Linearity: How Masked Autoencoders Capture Spatial Correlations
ICCV 2025
Representation Shattering in Transformers: A Synthetic Study with Knowledge Editing
ICML 2025
ScottyPoseidon at SemEval-2025 Task 8: LLM-Driven Code Generation for Zero-Shot Question Answering on Tabular Data
SemEval 2025
TartanTritons at SemEval-2025 Task 10: Multilingual Hierarchical Entity Classification and Narrative Reasoning using Instruct-Tuned LLMs
SemEval 2025
Compositional Capabilities of Autoregressive Transformers: A Study on Synthetic, Interpretable Tasks
ICML 2024
Prospective Learning: Learning for a Dynamic Future
NeurIPS 2024
Towards an Understanding of Stepwise Inference in Transformers: A Synthetic Graph Navigation Model
ICML 2024
A Picture of the Space of Typical Learnable Tasks
ICML 2023
The Value of Out-of-Distribution Data
ICML 2023
Deep Reference Priors: What is the best way to pretrain a model?
ICML 2022
Model Zoo: A Growing Brain That Learns Continually
ICLR 2022
Successor Options: An Option Discovery Framework for Reinforcement Learning
IJCAI 2019