← Authors

Nicholas D. Lane

16 papers · 2018–2026 · 10 conferences · across top CS/AI conferences

Achievements

🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸ—ΊοΈ Taxonomy Completionist (10) 🧭 Keyword Pioneer 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (7) 🐝 Cross-Pollinator (10) 🌈 Renaissance Researcher (7) πŸ† Keyword Champion (2) 🧬 Topic Evolution πŸ“ˆ Trend Setter ❓ The Questioner πŸ—ƒοΈ Keyword Collector (73) πŸ’Ž Century Club (15) ⚑ Prolific Year (6)

Conferences

INTERSPEECH (6) AAAI (2) ACL (1) ECCV (1) ICCV (1) ICLR (1) IJCAI (1) JMLR (1) NIPS (1) WACV (1)

Top co-authors

Xinchi Qiu (4) Mohamed S. Abdelfattah (3) Titouan Parcollet (3) Ravichander Vipperla (3) Sourav Bhattacharya (3) Łukasz Dudziak (3) Akhil Mathur (2) Abhinav Mehrotra (2) Javier FernÑndez-Marqués (2) Milad Alizadeh (2)

Keywords

model compression (5) federated learning (3) automatic speech recognition (3) efficient computing (2) multi-channel speech recognition (2) distant speech recognition (2) matrix factorization (1) model unlearning (1) image restoration (1) speech synthesis (1) in-context learning (1) neural architecture search (1) unsupervised domain adaptation (1) adversarial learning (1) dynamic routing (1) knowledge editing (1) model merging (1) neural network optimization (1) visual representation (1) self-supervised learning (1)

Papers

Editing as Unlearning: Are Knowledge Editing Methods Strong Baselines for Large Language Model Unlearning? AAAI 2026
Demystifying Small Language Models for Edge Deployment ACL 2025
CLUES: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics NIPS 2024
Meta-Learned Kernel for Blind Super-Resolution Kernel Estimation WACV 2024
A First Look into the Carbon Footprint of Federated Learning JMLR 2023
L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning ICCV 2023
Zero-Cost Operation Scoring in Differentiable Architecture Search AAAI 2023
FusionRNN: Shared Neural Parameters for Multi-Channel Distant Speech Recognition INTERSPEECH 2020
Iterative Compression of End-to-End ASR Model Using AutoML INTERSPEECH 2020
Bunched LPCNet: Vocoder for Low-Cost Neural Text-To-Speech Systems INTERSPEECH 2020
Journey Towards Tiny Perceptual Super-Resolution ECCV 2020
Quaternion Neural Networks for Multi-Channel Distant Speech Recognition INTERSPEECH 2020
Unsupervised Domain Adaptation Under Label Space Mismatch for Speech Classification INTERSPEECH 2020
ShrinkML: End-to-End ASR Model Compression Using Reinforcement Learning INTERSPEECH 2019
An Empirical study of Binary Neural Networks' Optimisation ICLR 2019
Deterministic Binary Filters for Convolutional Neural Networks IJCAI 2018