Aditya Krishna Menon
24 papers · 2014–2025 · 9 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (42) π Academic Marathon Β· Half π Conference Polyglot Β· Silver π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
π€
Dynamic Duo
(15)
π
Trend Setter
ποΈ
Keyword Collector
(112)
π
Conference Pioneer
π₯
Unstoppable Β· Bronze
β
The Questioner
(2)
β‘
Prolific Year Β· Productive
π
Century Club Β· Bronze
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Renaissance Researcher
(5)
Top co-authors
Research topics
Machine Learning
(23)
Optimization & Theory Β· Machine Learning
(13)
Application Areas
(9)
Core Methods
(9)
Natural Language Processing
(6)
Learning Types Β· Machine Learning
(6)
Deep Learning
(5)
Artificial Intelligence
(4)
Core AI
(4)
Generation
(3)
Optimization & Theory Β· Deep Learning
(3)
Data Science & Analytics
(2)
Bayesian & Probabilistic
(2)
Learning Types Β· Deep Learning
(2)
Resources & Methods
(2)
Keywords
language model
(4)
bipartite ranking
(3)
knowledge distillation
(3)
gradient clipping
(2)
question answering
(2)
gradient descent
(2)
long-tail learning
(2)
deep neural network
(2)
speculative decoding
(2)
proper loss
(2)
label noise
(2)
bayes optimal
(2)
cost-quality trade-off
(2)
class imbalance
(2)
document summarization
(1)
extractive summarization
(1)
bayesian inference
(1)
bayesian learning
(1)
robust optimization
(1)
model calibration
(1)
Papers
Better autoregressive regression with LLMs via regression-aware fine-tuning
ICLR 2025
Bipartite Ranking From Multiple Labels: On Loss Versus Label Aggregation
ICML 2025
Faster Cascades via Speculative Decoding
ICLR 2025
DistillSpec: Improving Speculative Decoding via Knowledge Distillation
ICLR 2024
Language Model Cascades: Token-Level Uncertainty And Beyond
ICLR 2024
Learning to Reject Meets Long-tail Learning
ICLR 2024
Plugin estimators for selective classification with out-of-distribution detection
ICLR 2024
Regression Aware Inference with LLMs
EMNLP 2024
The importance of feature preprocessing for differentially private linear optimization
ICLR 2024
Think before you speak: Training Language Models With Pause Tokens
ICLR 2024
USTAD: Unified Single-model Training Achieving Diverse Scores for Information Retrieval
ICML 2024
Robust distillation for worst-class performance: on the interplay between teacher and student objectives
UAI 2023
Supervision Complexity and its Role in Knowledge Distillation
ICLR 2023
Interval-censored Hawkes processes
JMLR 2022
Coping with Label Shift via Distributionally Robust Optimisation
ICLR 2021
Long-tail learning via logit adjustment
ICLR 2021
Overparameterisation and worst-case generalisation: friend or foe?
ICLR 2021
Can gradient clipping mitigate label noise?
ICLR 2020
Comparative Document Summarisation via Classification
AAAI 2019
On the Minimal Supervision for Training Any Binary Classifier from Only Unlabeled Data
ICLR 2019
Making Deep Neural Networks Robust to Label Noise: A Loss Correction Approach
CVPR 2017
Bipartite Ranking: a Risk-Theoretic Perspective
JMLR 2016
Practical Linear Models for Large-Scale One-Class Collaborative Filtering
IJCAI 2016
Bayes-Optimal Scorers for Bipartite Ranking
COLT 2014