Amr Ahmed
24 papers · 1999–2026 · 11 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (41) π Conference Polyglot Β· Gold π Academic Marathon Β· Ultra π Interdisciplinary Bridge Β· Bronze π£ Hot Topic Early Bird
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Mega-Team Β· Squad
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Grand Slam
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Conference Pioneer
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Unstoppable Β· Bronze
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Prolific Year Β· Productive
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Century Club Β· Bronze
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Renaissance Researcher
(6)
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Trend Setter
ποΈ
Keyword Collector
(106)
Venues
Top co-authors
Research topics
Machine Learning
(17)
Core Methods
(13)
Deep Learning
(6)
Learning Types Β· Machine Learning
(6)
Optimization & Theory
(6)
Artificial Intelligence
(5)
Architectures
(5)
Natural Language Processing
(4)
Application Areas
(4)
Core AI
(4)
Learning Types Β· Deep Learning
(3)
Data Science & Analytics
(2)
Mathematics & Optimization
(2)
Applications
(2)
Bayesian & Probabilistic
(2)
Keywords
unsupervised learning
(2)
contextual bandit
(2)
latent state
(2)
hierarchical clustering
(2)
representation learning
(2)
regret bound
(2)
clustering algorithm
(2)
concept erasure
(2)
sequence modeling
(1)
online learning
(1)
combinatorial optimization
(1)
policy optimization
(1)
variational inference
(1)
ensemble learning
(1)
self-attention mechanism
(1)
algorithmic fairness
(1)
transformer architecture
(1)
question answering
(1)
extractive summarization
(1)
latent dirichlet allocation
(1)
Papers
Training-Only Heterogeneous Image-Patch-Text Graph Supervision for Advancing Few-Shot Learning Adapters
CVPR 2026
Fundamental Limits of Perfect Concept Erasure
AISTATS 2025
Linear Transformer Topological Masking with Graph Random Features
ICLR 2025
Conditional Language Policy: A General Framework For Steerable Multi-Objective Finetuning
EMNLP 2024
Enhancing Group Fairness in Online Settings Using Oblique Decision Forests
ICLR 2024
Robust Concept Erasure via Kernelized Rate-Distortion Maximization
NeurIPS 2023
Unsupervised Opinion Summarization Using Approximate Geodesics
EMNLP 2023
Anchor & Transform: Learning Sparse Embeddings for Large Vocabularies
ICLR 2021
DAG-Structured Clustering by Nearest Neighbors
AISTATS 2021
Exact and approximate hierarchical clustering using A*
UAI 2021
Non-Stationary Off-Policy Optimization
AISTATS 2021
Unsupervised Abstractive Dialogue Summarization for Tete-a-Tetes
AAAI 2021
Big Bird: Transformers for Longer Sequences
NeurIPS 2020
Latent Bandits Revisited
NeurIPS 2020
Canopy Fast Sampling with Cover Trees
ICML 2017
Latent LSTM Allocation: Joint Clustering and Non-Linear Dynamic Modeling of Sequence Data
ICML 2017
Scaling Distributed Machine Learning with the Parameter Server
OSDI 2014
Nested Chinese Restaurant Franchise Process: Applications to User Tracking and Document Modeling
ICML 2013
Scalable Dynamic Nonparametric Bayesian Models of Content and Users
IJCAI 2013
FastEx: Hash Clustering with Exponential Families
NeurIPS 2012
MedLDA: Maximum Margin Supervised Topic Models
JMLR 2012
Online Inference for the Infinite Topic-Cluster Model: Storylines from Streaming Text
AISTATS 2011
Staying Informed: Supervised and Semi-Supervised Multi-View Topical Analysis of Ideological Perspective
EMNLP 2010
Seeking The Truly Correlated Topic Posterior - on tight approximate inference of logistic-normal admixture model
AISTATS 1999