Noam Wies
7 papers · 2020–2024 · 3 venues · across top CS/AI venues
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Achievements
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🌍 Conference Polyglot · Bronze 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (20) 🔥 Unstoppable · Bronze ❓ The Questioner
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Research topics
Deep Learning
(6)
Artificial Intelligence
(4)
Machine Learning
(3)
Core AI
(3)
Optimization & Theory · Machine Learning
(3)
Architectures
(2)
Learning Types · Deep Learning
(2)
Models
(2)
Natural Language Processing
(1)
Speech & Audio
(1)
Applications
(1)
Learning Paradigms
(1)
Learning Types · Machine Learning
(1)
Optimization & Theory · Deep Learning
(1)
Recognition
(1)
Keywords
sequence-to-sequence model
(2)
in-context learning
(2)
question answering
(1)
sample complexity
(1)
pac learning
(1)
automatic speech recognition
(1)
ai safety
(1)
connectionist temporal classification
(1)
inductive bia
(1)
language model
(1)
task identification
(1)
latency optimization
(1)
network depth
(1)
sentence representation
(1)
network width
(1)
neural language model
(1)
word error rate
(1)
pre-training distribution
(1)
finite sample complexity
(1)
adversarial prompting
(1)
Papers
Align With Purpose: Optimize Desired Properties in CTC Models with a General Plug-and-Play Framework
ICLR 2024
Fundamental Limitations of Alignment in Large Language Models
ICML 2024
Sub-Task Decomposition Enables Learning in Sequence to Sequence Tasks
ICLR 2023
The Learnability of In-Context Learning
NeurIPS 2023
The Inductive Bias of In-Context Learning: Rethinking Pretraining Example Design
ICLR 2022
Which transformer architecture fits my data? A vocabulary bottleneck in self-attention
ICML 2021
Limits to Depth Efficiencies of Self-Attention
NeurIPS 2020