Sanjay Chawla
14 papers · 2013–2026 · 10 venues · across top CS/AI venues
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Achievements
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πΊοΈ Taxonomy Completionist (40) π Conference Polyglot Β· Gold π Academic Marathon Β· Half π Interdisciplinary Bridge Β· Silver π£ Hot Topic Early Bird
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Renaissance Researcher
(6)
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(80)
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Research topics
Machine Learning
(9)
Artificial Intelligence
(8)
Core AI
(7)
Deep Learning
(5)
Core Methods
(5)
Optimization & Theory
(5)
Architectures
(4)
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(4)
Computer Vision
(3)
Natural Language Processing
(3)
Domain-Specific
(3)
Data Science & Analytics
(2)
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(2)
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(2)
Applications
(2)
Keywords
satellite imagery
(2)
out-of-distribution detection
(2)
convolutional neural network
(2)
adversarial training
(2)
variational inference
(1)
graph laplacian
(1)
statistical consistency
(1)
scene understanding
(1)
binary classification
(1)
epistemic uncertainty
(1)
collaborative filtering
(1)
convergence analysis
(1)
sample complexity
(1)
confidence calibration
(1)
class imbalance
(1)
matrix factorization
(1)
remote sensing
(1)
outlier detection
(1)
exploration-exploitation tradeoff
(1)
robustness
(1)
Papers
Can LLMs Detect Their Confabulations? Estimating Reliability in Uncertainty-Aware Language Models
AAAI 2026
RankOOD - Class Ranking-based Out-of-Distribution Detection
CVPR 2026
CRAFT: Class Ranking Aware Fine-Tuning for Enhanced Out-of-Distribution Detection
WACV 2025
Explaining the role of Intrinsic Dimensionality in Adversarial Training
ICML 2025
S$2$AC: Energy-Based Reinforcement Learning with Stein Soft Actor Critic
ICLR 2024
Impact of Adversarial Training on Robustness and Generalizability of Language Models
ACL 2023
Inferring High-Resolution Traffic Accident Risk Maps Based on Satellite Imagery and GPS Trajectories
ICCV 2021
RoadTagger: Robust Road Attribute Inference with Graph Neural Networks
AAAI 2020
Sat2Graph: Road Graph Extraction through Graph-Tensor Encoding
ECCV 2020
RoadTracer: Automatic Extraction of Road Networks From Aerial Images
CVPR 2018
Simple and Scalable Constrained Clustering: a Generalized Spectral Method
AISTATS 2016
Efficient Thompson Sampling for Online οΏΌMatrix-Factorization Recommendation
NeurIPS 2015
On Integrated Clustering and Outlier Detection
NeurIPS 2014
On the Statistical Consistency of Algorithms for Binary Classification under Class Imbalance
ICML 2013