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Adam D. Cobb

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

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Venues

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

Frequent coauthors

Bishnu Bhusal
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Ayush Gupta
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Colin Samplawski
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Malyaban Bal
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Anirban Roy
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Papers

  1. Privacy Preserving In-Context-Learning Framework for Large Language Models
    AAAI 2026 ·
    Bishnu Bhusal
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  2. Polysemantic Dropout: Conformal OOD Detection for Specialized LLMs
    EMNLP 2025 ·
    Ayush Gupta
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  3. Scalable Bayesian Low-Rank Adaptation of Large Language Models via Stochastic Variational Subspace Inference
    UAI 2025 ·
    Colin Samplawski
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  4. SpikingVTG: A Spiking Detection Transformer for Video Temporal Grounding
    NeurIPS 2025 ·
    Malyaban Bal
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  5. Zero-Shot Detection of Out-of-Context Objects Using Foundation Models
    WACV 2025 ·
    Anirban Roy
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  6. Direct Amortized Likelihood Ratio Estimation
    AAAI 2024 · Adam D. Cobb