Jy-yong Sohn
18 papers · 2020–2025 · 8 conferences · across top CS/AI conferences
Achievements
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🐣 Hot Topic Early Bird 🧭 Keyword Pioneer 🌍 Conference Polyglot (8) 🏃 Academic Marathon (5) 🐝 Cross-Pollinator (10)
🌍
Conference Polyglot
(8)
🏃
Academic Marathon
(5)
🐣
Hot Topic Early Bird
🏆
Grand Slam
🗃️
Keyword Collector
(77)
⚡
Prolific Year
(5)
💎
Century Club
(18)
❓
The Questioner
Conferences
ICML (4)
NIPS (4)
AISTATS (3)
EMNLP (2)
NAACL (2)
AAAI (1)
ICLR (1)
UAI (1)
Top co-authors
Keywords
neural network pruning
(3)
lottery ticket hypothesis
(2)
generative model
(2)
model compression
(2)
cross-lingual transfer
(2)
contrastive learning
(2)
network pruning
(2)
multilingual nlp
(1)
image classification
(1)
federated learning
(1)
attention mechanism
(1)
adversarial machine learning
(1)
geometric analysis
(1)
data augmentation
(1)
word alignment
(1)
model robustness
(1)
multimodal learning
(1)
prompt engineering
(1)
in-context learning
(1)
transfer learning
(1)
Papers
Measuring Representational Shifts in Continual Learning: A Linear Transformation Perspective
ICML 2025
On the Similarities of Embeddings in Contrastive Learning
ICML 2025
A Theoretical Framework for Preventing Class Collapse in Supervised Contrastive Learning
AISTATS 2025
Analysis of Using Sigmoid Loss for Contrastive Learning
AISTATS 2024
Improving Multi-lingual Alignment Through Soft Contrastive Learning
NAACL 2024
ERD: A Framework for Improving LLM Reasoning for Cognitive Distortion Classification
NAACL 2024
Memorization Capacity for Additive Fine-Tuning with Small ReLU Networks
UAI 2024
Retrieval-based Evaluation for LLMs: A Case Study in Korean Legal QA
EMNLP 2023
Can We Find Strong Lottery Tickets in Generative Models?
AAAI 2023
Equal Improvability: A New Fairness Notion Considering the Long-term Impact
ICLR 2023
Looped Transformers as Programmable Computers
ICML 2023
Finding Nearly Everything within Random Binary Networks
AISTATS 2022
Rare Gems: Finding Lottery Tickets at Initialization
NIPS 2022
LIFT: Language-Interfaced Fine-Tuning for Non-language Machine Learning Tasks
NIPS 2022
Utilizing Language-Image Pretraining for Efficient and Robust Bilingual Word Alignment
EMNLP 2022
GenLabel: Mixup Relabeling using Generative Models
ICML 2022
Attack of the Tails: Yes, You Really Can Backdoor Federated Learning
NIPS 2020
Election Coding for Distributed Learning: Protecting SignSGD against Byzantine Attacks
NIPS 2020