Mani Srivastava
10 papers · 2014–2026 · 7 venues · across top CS/AI venues
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Achievements
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🐣 Hot Topic Early Bird 🌍 Conference Polyglot · Silver 🏃 Academic Marathon · Half 🌉 Interdisciplinary Bridge · Bronze 🗺️ Taxonomy Completionist (28)
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Topic Evolution
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Century Club · Bronze
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Research topics
Artificial Intelligence
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Machine Learning
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Core AI · Artificial Intelligence
(5)
Learning Types · Machine Learning
(3)
Computer Vision
(2)
Deep Learning
(2)
Analysis
(2)
Learning Types · Deep Learning
(2)
Data Science & Analytics
(1)
Reinforcement Learning
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Applications
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Core AI · Computer Vision
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Domain-Specific
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Keywords
large language model
(2)
sensor data
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multimodal learning
(2)
sim-to-real transfer
(1)
natural language processing
(1)
text classification
(1)
causal reasoning
(1)
model robustness
(1)
self-supervised learning
(1)
commonsense knowledge
(1)
domain randomization
(1)
depth estimation
(1)
object tracking
(1)
sensor fusion
(1)
behavior analysis
(1)
uncertainty quantification
(1)
time series
(1)
deep neural network
(1)
parameter-efficient fine-tuning
(1)
domain adaptation
(1)
Papers
Decoupling Vision and Language: Codebook Anchored Visual Adaptation
CVPR 2026
ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor Data
ACL 2025
Penetrative AI: Making LLMs Comprehend the Physical World
ACL 2024
Depth Estimation From Camera Image and mmWave Radar Point Cloud
CVPR 2023
FOCAL: Contrastive Learning for Multimodal Time-Series Sensing Signals in Factorized Orthogonal Latent Space
NeurIPS 2023
Heteroskedastic Geospatial Tracking with Distributed Camera Networks
UAI 2023
How Can I Explain This to You? An Empirical Study of Deep Neural Network Explanation Methods
NeurIPS 2020
Sim2Real Transfer for Deep Reinforcement Learning with Stochastic State Transition Delays
CoRL 2020
Generating Natural Language Adversarial Examples
EMNLP 2018
ipShield: A Framework For Enforcing Context-Aware Privacy
NSDI 2014