← Authors

Sathya N. Ravi

26 papers · 2015–2025 · 10 conferences · across top CS/AI conferences

Achievements

🌈 Renaissance Researcher (8) 🐝 Cross-Pollinator (5) πŸŒ‰ Interdisciplinary Bridge 🧭 Keyword Pioneer πŸ—ΊοΈ Taxonomy Completionist (68) 🐣 Hot Topic Early Bird 🌍 Conference Polyglot (10) πŸƒ Academic Marathon (10) 🀝 Dynamic Duo (18) πŸ† Grand Slam 🧬 Topic Evolution πŸ† Keyword Champion (3) πŸ—ƒοΈ Keyword Collector (137) πŸ’Ž Century Club (26) πŸš€ Conference Pioneer πŸ”₯ Unstoppable (11) πŸ“ˆ Trend Setter

Conferences

CVPR (7) AAAI (5) ICCV (5) ACL (3) AISTATS (1) ECCV (1) EMNLP (1) ICLR (1) ICML (1) NIPS (1)

Top co-authors

Vikas Singh (18) Zhu Wang (6) Vishnu Suresh Lokhande (5) Homaira Huda Shomee (3) Sourav Medya (3) Maxwell D. Collins (3) Seong Jae Hwang (3) Sterling C. Johnson (3) Lopamudra Mukherjee (3) Abhay Venkatesh (2)

Research topics

Models (1)

Keywords

patent classification (3) multimodal learning (2) brain imaging (2) design patent (2) few-shot learning (2) image retrieval (2) large language model (2) figurative language (2) generalized eigenvalue problem (2) patent retrieval (2) stochastic optimization (2) transductive learning (1) semi-supervised learning (1) text classification (1) convex optimization (1) stochastic gradient descent (1) causal inference (1) domain adaptation (1) information retrieval (1) graph laplacian (1)

Papers

DesignCLIP: Multimodal Learning with CLIP for Design Patent Understanding EMNLP 2025
A Survey on Patent Analysis: From NLP to Multimodal AI ACL 2025
Optimizing Neural Network Training and Quantization with Rooted Logistic Objectives AISTATS 2025
From Heart to Words: Generating Empathetic Responses via Integrated Figurative Language and Semantic Context Signals ACL 2025
IMPACT: A Large-scale Integrated Multimodal Patent Analysis and Creation Dataset for Design Patents NIPS 2024
Flag Aggregator: Scalable Distributed Training under Failures and Augmented Losses using Convex Optimization ICLR 2024
EmpatheticFIG at WASSA 2024 Empathy and Personality Shared Task: Predicting Empathy and Emotion in Conversations with Figurative Language ACL 2024
Controlled Differential Equations on Long Sequences via Non-standard Wavelets ICML 2023
Deep Unlearning via Randomized Conditionally Independent Hessians CVPR 2022
Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets CVPR 2022
Learning Invariant Representations using Inverse Contrastive Loss AAAI 2021
Neural TMDlayer: Modeling Instantaneous Flow of Features via SDE Generators ICCV 2021
Physarum Powered Differentiable Linear Programming Layers and Applications AAAI 2021
FairALM: Augmented Lagrangian Method for Training Fair Models with Little Regret ECCV 2020
Generating Accurate Pseudo-Labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations CVPR 2020
Optimizing Nondecomposable Data Dependent Regularizers via Lagrangian Reparameterization Offers Significant Performance and Efficiency Gains AAAI 2020
Adaptive Activation Thresholding: Dynamic Routing Type Behavior for Interpretability in Convolutional Neural Networks ICCV 2019
Numerical Optimization to AI, and Back AAAI 2019
Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence AAAI 2019
Tensorize, Factorize and Regularize: Robust Visual Relationship Learning CVPR 2018
A Biresolution Spectral Framework for Product Quantization CVPR 2018
Filter Flow Made Practical: Massively Parallel and Lock-Free CVPR 2017
Coupled Harmonic Bases for Longitudinal Characterization of Brain Networks CVPR 2016
An NMF Perspective on Binary Hashing ICCV 2015
On Statistical Analysis of Neuroimages With Imperfect Registration ICCV 2015
A Projection Free Method for Generalized Eigenvalue Problem With a Nonsmooth Regularizer ICCV 2015