Shashank Rajput
15 papers · 2019–2024 · 6 venues · across top CS/AI venues
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stochastic gradient descent
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relu network
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neural network pruning
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convergence rate
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multilingual nlp
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attention mechanism
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image classification
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model robustness
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collaborative filtering
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lottery ticket hypothesis
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adversarial machine learning
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transfer learning
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data augmentation
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batch normalization
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in-context learning
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cross-lingual transfer
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prompt engineering
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multimodal learning
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Papers
Maestro: Uncovering Low-Rank Structures via Trainable Decomposition
ICML 2024
Looped Transformers as Programmable Computers
ICML 2023
Recommender Systems with Generative Retrieval
NeurIPS 2023
The Expressive Power of Tuning Only the Normalization Layers
COLT 2023
Finding Nearly Everything within Random Binary Networks
AISTATS 2022
LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning Tasks
NeurIPS 2022
Minibatch vs Local SGD with Shuffling: Tight Convergence Bounds and Beyond
ICLR 2022
Permutation-Based SGD: Is Random Optimal?
ICLR 2022
Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment
EMNLP 2022
An Exponential Improvement on the Memorization Capacity of Deep Threshold Networks
NeurIPS 2021
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning
NeurIPS 2020
Closing the convergence gap of SGD without replacement
ICML 2020
Optimal Lottery Tickets via Subset Sum: Logarithmic Over-Parameterization is Sufficient
NeurIPS 2020
DETOX: A Redundancy-based Framework for Faster and More Robust Gradient Aggregation
NeurIPS 2019
Does Data Augmentation Lead to Positive Margin?
ICML 2019