Adam D. Cobb

6 papers at tracked venues · 3 at CORE A* · active 2024–2026

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Venues

AAAI ×2 EMNLP ×1 NeurIPS ×1 UAI ×1 WACV ×1

Frequent coauthors

Susmit Jha

×6

Ramneet Kaur

×4

Anirban Roy

×4

Manoj Acharya

×2

Colin Samplawski

×2

Brian Matejek

×2

Bishnu Bhusal

×1

Rohit Chadha

×1

Ayush Gupta

×1

Rama Chellappa

×1

Malyaban Bal

×1

Sumit Jha

×1

Papers

Privacy Preserving In-Context-Learning Framework for Large Language Models
AAAI 2026 ·
Bishnu Bhusal
,
Manoj Acharya
,
Ramneet Kaur
,
Colin Samplawski
,
Anirban Roy
, Adam D. Cobb,
Rohit Chadha
,
Susmit Jha
Polysemantic Dropout: Conformal OOD Detection for Specialized LLMs
EMNLP 2025 ·
Ayush Gupta
,
Ramneet Kaur
,
Anirban Roy
, Adam D. Cobb,
Rama Chellappa
,
Susmit Jha
Scalable Bayesian Low-Rank Adaptation of Large Language Models via Stochastic Variational Subspace Inference
UAI 2025 ·
Colin Samplawski
, Adam D. Cobb,
Manoj Acharya
,
Ramneet Kaur
,
Susmit Jha
SpikingVTG: A Spiking Detection Transformer for Video Temporal Grounding
NeurIPS 2025 ·
Malyaban Bal
,
Brian Matejek
,
Susmit Jha
, Adam D. Cobb
Zero-Shot Detection of Out-of-Context Objects Using Foundation Models
WACV 2025 ·
Anirban Roy
, Adam D. Cobb,
Ramneet Kaur
,
Sumit Jha
,
Nathaniel D. Bastian
,
Alexander M. Berenbeim
,
Robert H. Thomson
,
Iain Cruickshank
,
Alvaro Velasquez
,
Susmit Jha
Direct Amortized Likelihood Ratio Estimation
AAAI 2024 · Adam D. Cobb,
Brian Matejek
,
Daniel Elenius
,
Anirban Roy
,
Susmit Jha