Sathya N. Ravi
26 papers · 2015–2025 · 10 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (66) π Conference Polyglot Β· Gold π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Gold π£ Hot Topic Early Bird
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Deep Specialist
(11)
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Grand Slam
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Topic Evolution
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Dynamic Duo
(18)
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Renaissance Researcher
(6)
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Unstoppable Β· Silver
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Conference Pioneer
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Century Club Β· Bronze
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Trend Setter
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Keyword Collector
(150)
Venues
Top co-authors
Research topics
Machine Learning
(23)
Deep Learning
(17)
Optimization & Theory Β· Machine Learning
(13)
Artificial Intelligence
(9)
Mathematics & Optimization
(9)
Core Methods
(9)
Optimization & Theory Β· Deep Learning
(8)
Computer Vision
(7)
Core AI
(7)
Optimization
(7)
Learning Types Β· Machine Learning
(6)
Learning Types Β· Deep Learning
(6)
Application Areas
(4)
Techniques
(4)
Healthcare & Medicine
(3)
Keywords
patent classification
(3)
stochastic optimization
(2)
multimodal learning
(2)
design patent
(2)
brain imaging
(2)
image retrieval
(2)
pre-trained language model
(2)
generalized eigenvalue problem
(2)
large language model
(2)
patent retrieval
(2)
figurative language
(2)
convex optimization
(2)
few-shot learning
(2)
transductive learning
(1)
text classification
(1)
stochastic gradient descent
(1)
domain adaptation
(1)
contrastive learning
(1)
causal inference
(1)
graph laplacian
(1)
Papers
A Survey on Patent Analysis: From NLP to Multimodal AI
ACL 2025
DesignCLIP: Multimodal Learning with CLIP for Design Patent Understanding
EMNLP 2025
From Heart to Words: Generating Empathetic Responses via Integrated Figurative Language and Semantic Context Signals
ACL 2025
Optimizing Neural Network Training and Quantization with Rooted Logistic Objectives
AISTATS 2025
EmpatheticFIG at WASSA 2024 Empathy and Personality Shared Task: Predicting Empathy and Emotion in Conversations with Figurative Language
ACL 2024
Flag Aggregator: Scalable Distributed Training under Failures and Augmented Losses using Convex Optimization
ICLR 2024
IMPACT: A Large-scale Integrated Multimodal Patent Analysis and Creation Dataset for Design Patents
NeurIPS 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
Explicitly Imposing Constraints in Deep Networks via Conditional Gradients Gives Improved Generalization and Faster Convergence
AAAI 2019
Numerical Optimization to AI, and Back
AAAI 2019
A Biresolution Spectral Framework for Product Quantization
CVPR 2018
Tensorize, Factorize and Regularize: Robust Visual Relationship Learning
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
A Projection Free Method for Generalized Eigenvalue Problem With a Nonsmooth Regularizer
ICCV 2015
On Statistical Analysis of Neuroimages With Imperfect Registration
ICCV 2015