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Susmit Jha

25 papers · 2018–2026 · 13 venues · across top CS/AI venues

Authors are matched by name, so researchers who share a name ("Yang Liu", "Wei Wang") appear as a single profile and their paper counts, venues and achievements are combined. How identity is handled.

Achievements

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+9 more ↓ πŸ—ΊοΈ Taxonomy Completionist (53) 🌍 Conference Polyglot Β· Gold πŸƒ Academic Marathon Β· Sprint πŸŒ‰ Interdisciplinary Bridge Β· Silver 🐣 Hot Topic Early Bird
πŸ† Grand Slam 🧬 Topic Evolution 🀝 Dynamic Duo (10) 🌈 Renaissance Researcher (7) πŸ”₯ Unstoppable Β· Bronze ⚑ Prolific Year Β· Productive πŸ’Ž Century Club Β· Bronze πŸ“ˆ Trend Setter πŸ—ƒοΈ Keyword Collector (126)

Venues

AAAI (6) IJCAI (3) NeurIPS (3) CVPR (2) ICCV (2) ICLR (2) CoRL (1) EMNLP (1) ICML (1) JMLR (1) NAACL (1) UAI (1) WACV (1)

Top co-authors

Anirban Roy (10) Alvaro Velasquez (7) Ramneet Kaur (5) Adam D. Cobb (4) Sumit Jha (3) Xiao Lin (3) Manoj Acharya (3) Rickard Ewetz (3) Ayush Gupta (2) Indranil Sur (2)

Research topics

Artificial Intelligence (16) Machine Learning (16) Core AI (15) Deep Learning (11) Optimization & Theory (8) Learning Types Β· Machine Learning (7) Application Areas (5) Core Methods (5) Computer Vision (4) Architectures (4) Learning Types Β· Deep Learning (4) Models (4) Natural Language Processing (2) Analysis (2) Bayesian & Probabilistic (2)

Keywords

neural network (4) attribution method (3) conformal prediction (3) adversarial attack (2) large language model (2) stochastic differential equation (2) integrated gradient (2) generative model (2) out-of-distribution detection (2) adversarial example (2) anomaly detection (2) neural stochastic differential equation (2) combinatorial optimization (2) multimodal learning (2) deep neural network (2) visual question answering (2) backdoor attack (2) uncertainty quantification (1) density estimation (1) bayesian inference (1)

Papers

On the Dataless Training of Neural Networks AAAI 2026 Privacy Preserving In-Context-Learning Framework for Large Language Models AAAI 2026 Selective Amnesia using Contrastive Subnet Erasure for Class Level Unlearning in Vision Models CVPR 2026 Polysemantic Dropout: Conformal OOD Detection for Specialized LLMs EMNLP 2025 Scalable Bayesian Low-Rank Adaptation of Large Language Models via Stochastic Variational Subspace Inference UAI 2025 TOGA: Temporally Grounded Open-Ended Video QA with Weak Supervision ICCV 2025 Zero-Shot Detection of Out-of-Context Objects using Foundation Models WACV 2025 Direct Amortized Likelihood Ratio Estimation AAAI 2024 Task-Agnostic Detector for Insertion-Based Backdoor Attacks NAACL 2024 AircraftVerse: A Large-Scale Multimodal Dataset of Aerial Vehicle Designs NeurIPS 2023 Principled Out-of-Distribution Detection via Multiple Testing JMLR 2023 TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal Backdoored Models ICCV 2023 Detecting Out-Of-Context Objects Using Graph Contextual Reasoning Network IJCAI 2022 Dual-Key Multimodal Backdoors for Visual Question Answering CVPR 2022 ExplainIt!: A Tool for Computing Robust Attributions of DNNs IJCAI 2022 iDECODe: In-Distribution Equivariance for Conformal Out-of-Distribution Detection AAAI 2022 Principal Component Flows ICML 2022 Shaping Noise for Robust Attributions in Neural Stochastic Differential Equations AAAI 2022 Trigger Hunting with a Topological Prior for Trojan Detection ICLR 2022 On Smoother Attributions using Neural Stochastic Differential Equations IJCAI 2021 Estimating the Density of States of Boolean Satisfiability Problems on Classical and Quantum Computing Platforms AAAI 2020 Learning Certified Control Using Contraction Metric CoRL 2020 On the Need for Topology-Aware Generative Models for Manifold-Based Defenses ICLR 2020 Attribution-Based Confidence Metric For Deep Neural Networks NeurIPS 2019 Learning Task Specifications from Demonstrations NeurIPS 2018