← Authors

Mehrdad Farajtabar

30 papers · 2013–2026 · 11 conferences · across top CS/AI conferences

Achievements

🌍 Conference Polyglot (10) 🌈 Renaissance Researcher (6) 🐝 Cross-Pollinator (14) 🧭 Keyword Pioneer 🐣 Hot Topic Early Bird πŸŒ‰ Interdisciplinary Bridge πŸƒ Academic Marathon (12) πŸ—ΊοΈ Taxonomy Completionist (17) 🧬 Topic Evolution πŸ† Keyword Champion (2) 🀝 Dynamic Duo (11) πŸ† Grand Slam πŸ—ƒοΈ Keyword Collector (121) ⚑ Prolific Year (6) πŸš€ Conference Pioneer πŸ“ˆ Trend Setter πŸ’Ž Century Club (29) πŸ”₯ Unstoppable (13)

Conferences

NIPS (8) ICML (6) ICLR (5) ACL (2) AISTATS (2) ICCV (2) AAAI (1) CVPR (1) EACL (1) IJCAI (1) JMLR (1)

Top co-authors

Hongyuan Zha (11) Seyed Iman Mirzadeh (8) Oncel Tuzel (7) Le Song (7) Fartash Faghri (5) Hadi Pouransari (5) Sachin Mehta (5) Mohammad Rastegari (4) Raviteja Vemulapalli (4) Ang Li (4)

Keywords

point process (5) hawkes process (5) continual learning (4) social network (4) catastrophic forgetting (4) convex optimization (4) neural network (3) knowledge distillation (3) model compression (2) large language model (2) off-policy evaluation (2) multivariate hawkes process (2) information diffusion (2) temporal point process (2) transfer learning (2) network evolution (2) maximum entropy (1) manifold learning (1) reinforcement learning (1) online learning (1)

Papers

Reasoning’s Razor: Reasoning Improves Accuracy but Hurts Recall at Critical Operating Points in Safety and Hallucination Detection EACL 2026
Proxy-FDA: Proxy-based Feature Distribution Alignment for Fine-tuning Vision Foundation Models without Forgetting ICML 2025
TiC-LM: A Web-Scale Benchmark for Time-Continual LLM Pretraining ACL 2025
GSM-Symbolic: Understanding the Limitations of Mathematical Reasoning in Large Language Models ICLR 2025
LLM in a flash: Efficient Large Language Model Inference with Limited Memory ACL 2024
TiC-CLIP: Continual Training of CLIP Models ICLR 2024
ReLU Strikes Back: Exploiting Activation Sparsity in Large Language Models ICLR 2024
Knowledge Transfer from Vision Foundation Models for Efficient Training of Small Task-specific Models ICML 2024
Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement ICCV 2023
Wide Neural Networks Forget Less Catastrophically ICML 2022
Linear Mode Connectivity in Multitask and Continual Learning ICLR 2021
Orthogonal Gradient Descent for Continual Learning AISTATS 2020
Improved Knowledge Distillation via Teacher Assistant AAAI 2020
Learning to Incentivize Other Learning Agents NIPS 2020
A Maximum-Entropy Approach to Off-Policy Evaluation in Average-Reward MDPs NIPS 2020
Understanding the Role of Training Regimes in Continual Learning NIPS 2020
Self-Distillation Amplifies Regularization in Hilbert Space NIPS 2020
DyRep: Learning Representations over Dynamic Graphs ICLR 2019
Cross-View Policy Learning for Street Navigation ICCV 2019
More Robust Doubly Robust Off-policy Evaluation ICML 2018
Discrete Interventions in Hawkes Processes with Applications in Invasive Species Management IJCAI 2018
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Evolution JMLR 2017
Fake News Mitigation via Point Process Based Intervention ICML 2017
Wasserstein Learning of Deep Generative Point Process Models NIPS 2017
Learning Granger Causality for Hawkes Processes ICML 2016
Multistage Campaigning in Social Networks NIPS 2016
Back to the Past: Source Identification in Diffusion Networks from Partially Observed Cascades AISTATS 2015
COEVOLVE: A Joint Point Process Model for Information Diffusion and Network Co-evolution NIPS 2015
Shaping Social Activity by Incentivizing Users NIPS 2014
From Local Similarity to Global Coding: An Application to Image Classification CVPR 2013