Minsik Cho

10 papers · 2017–2025 · 6 conferences · across top CS/AI conferences

Achievements

🐝 Cross-Pollinator (15) 🗺️ Taxonomy Completionist (14) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (6) 🏃 Academic Marathon (8) 🌉 Interdisciplinary Bridge 🏆 Grand Slam 🔥 Unstoppable (6) 💎 Century Club (10)

Conferences

ICML (3) ICLR (2) INTERSPEECH (2) AAAI (1) ACL (1) NIPS (1)

Top co-authors

Mohammad Rastegari (3) Devang Naik (3) Saurabh Adya (3) Chun-Fu Richard Chen (1) Bishwaranjan Bhattacharjee (1) Mayoore S Jaiswal (1) Ahmed Tewfik (1) Kandan Ramakrishnan (1) Arnav Kundu (1) Chandra Dhir (1)

Keywords

neural network (2) model compression (2) metric learning (1) transfer learning (1) domain adaptation (1) neural architecture search (1) efficient inference (1) semantic alignment (1) keyword spotting (1) speaker recognition (1) parallel computing (1) dynamic programming (1) memory efficiency (1) latent space (1) differentiable pruning (1) memory optimization (1) structured pruning (1) flash memory (1) audio-text alignment (1) similarity score (1)

Papers

SPD: Sync-Point Drop for Efficient Tensor Parallelism of Large Language Models ICML 2025

KV-Runahead: Scalable Causal LLM Inference by Parallel Key-Value Cache Generation ICML 2024

LLM in a flash: Efficient Large Language Model Inference with Limited Memory ACL 2024

PDP: Parameter-free Differentiable Pruning is All You Need NIPS 2023

Matching Latent Encoding for Audio-Text based Keyword Spotting INTERSPEECH 2023

Improving Voice Trigger Detection with Metric Learning INTERSPEECH 2022

DKM: Differentiable k-Means Clustering Layer for Neural Network Compression ICLR 2022

NASTransfer: Analyzing Architecture Transferability in Large Scale Neural Architecture Search AAAI 2021

SNOW: Subscribing to Knowledge via Channel Pooling for Transfer & Lifelong Learning of Convolutional Neural Networks ICLR 2020

MEC: Memory-efficient Convolution for Deep Neural Network ICML 2017