Prathosh AP
17 papers · 2020–2026 · 10 conferences · across top CS/AI conferences
Achievements
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🧭 Keyword Pioneer 🐝 Cross-Pollinator (13) 🌍 Conference Polyglot (9) 🏃 Academic Marathon (5) 🌈 Renaissance Researcher (7)
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Conference Polyglot
(9)
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(13)
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(15)
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Conferences
AAAI (3)
ICML (3)
ACL (2)
AISTATS (2)
CVPR (2)
EACL (1)
ECCV (1)
ICLR (1)
UAI (1)
WACV (1)
Top co-authors
Keywords
large language model
(2)
knowledge distillation
(2)
human action recognition
(2)
weak supervision
(2)
feature extraction
(1)
information bottleneck
(1)
variational inference
(1)
question answering
(1)
domain adaptation
(1)
text generation
(1)
feature transformation
(1)
cell detection
(1)
group lasso
(1)
class imbalance
(1)
linear transformation
(1)
object detection
(1)
transfer learning
(1)
submodular maximization
(1)
knowledge graph
(1)
manifold learning
(1)
Papers
Chandomitra: Towards Generating Structured Sanskrit Poetry from Natural Language Inputs
EACL 2026
BiMol-Diff: A Unified Diffusion Framework for Molecular Generation and Captioning
ACL 2026
LangDAug: Langevin Data Augmentation for Multi-Source Domain Generalization in Medical Image Segmentation
ICML 2025
Latent Mamba Operator for Partial Differential Equations
ICML 2025
Concept Forgetting via Label Annealing
UAI 2025
Fusing Conditional Submodular GAN and Programmatic Weak Supervision
AAAI 2024
WISER: Weak Supervision and Supervised Representation Learning to Improve Drug Response Prediction in Cancer
ICML 2024
HOLMES: Hyper-Relational Knowledge Graphs for Multi-hop Question Answering using LLMs
ACL 2024
DeGPR: Deep Guided Posterior Regularization for Multi-Class Cell Detection and Counting
CVPR 2023
Minority Oversampling for Imbalanced Data via Class-Preserving Regularized Auto-Encoders
AISTATS 2023
Neural Discovery of Permutation Subgroups
AISTATS 2023
Adaptive Mixing of Auxiliary Losses in Supervised Learning
AAAI 2023
Few-shot Cross-domain Image Generation via Inference-time Latent-code Learning
ICLR 2023
Generalization on Unseen Domains via Inference-Time Label-Preserving Target Projections
CVPR 2021
A Variational Information Bottleneck Based Method to Compress Sequential Networks for Human Action Recognition
WACV 2021
Unsupervised Domain Adaptation for Semantic Segmentation of NIR Images through Generative Latent Search
ECCV 2020
Guided Weak Supervision for Action Recognition with Scarce Data to Assess Skills of Children with Autism
AAAI 2020