Alex Tamkin
14 papers · 2019–2025 · 6 conferences · across top CS/AI conferences
Achievements
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Conference Polyglot
(6)
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Academic Marathon
(6)
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Grand Slam
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Mega-Team
(34)
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(64)
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Century Club
(14)
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Unstoppable
(7)
Conferences
NIPS (6)
ICLR (3)
EMNLP (2)
AAAI (1)
ICML (1)
NAACL (1)
Top co-authors
Keywords
transfer learning
(3)
representation learning
(2)
pretrained language model
(2)
contrastive learning
(1)
distributional reinforcement learning
(1)
domain adaptation
(1)
policy optimization
(1)
natural language inference
(1)
data augmentation
(1)
cross-lingual transfer
(1)
spectral filtering
(1)
continued pretraining
(1)
markov decision process
(1)
uncertainty sampling
(1)
spectral analysis
(1)
self-supervised learning
(1)
benchmark dataset
(1)
foundation model
(1)
model fine-tuning
(1)
few-shot learning
(1)
Papers
Eliciting Human Preferences with Language Models
ICLR 2025
Codebook Features: Sparse and Discrete Interpretability for Neural Networks
ICML 2024
Many-shot Jailbreaking
NIPS 2024
Task Ambiguity in Humans and Language Models
ICLR 2023
Feature Dropout: Revisiting the Role of Augmentations in Contrastive Learning
NIPS 2023
Turbulence in Focus: Benchmarking Scaling Behavior of 3D Volumetric Super-Resolution with BLASTNet 2.0 Data
NIPS 2023
Oolong: Investigating What Makes Transfer Learning Hard with Controlled Studies
EMNLP 2023
DABS 2.0: Improved Datasets and Algorithms for Universal Self-Supervision
NIPS 2022
Active Learning Helps Pretrained Models Learn the Intended Task
NIPS 2022
Viewmaker Networks: Learning Views for Unsupervised Representation Learning
ICLR 2021
Language Through a Prism: A Spectral Approach for Multiscale Language Representations
NIPS 2020
Being Optimistic to Be Conservative: Quickly Learning a CVaR Policy
AAAI 2020
Investigating Transferability in Pretrained Language Models
EMNLP 2020
Recursive Routing Networks: Learning to Compose Modules for Language Understanding
NAACL 2019