Aravindan Raghuveer
14 papers · 2021–2025 · 7 venues · across top CS/AI venues
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Machine Learning
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Learning Types Β· Machine Learning
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Generation
(6)
Deep Learning
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Optimization & Theory
(5)
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Learning Types Β· Deep Learning
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Keywords
learning from label proportion
(4)
text generation
(3)
multiple instance learning
(2)
generalization bound
(2)
weakly supervised learning
(2)
low-resource language
(2)
multiple instance regression
(2)
aggregate label
(2)
covariate shift
(2)
data augmentation
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semantic parsing
(1)
neural machine translation
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belief propagation
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preference optimization
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algorithmic fairness
(1)
multilingual nlp
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k-means clustering
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abstract meaning representation
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quality estimation
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language model alignment
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Papers
Aggregating Data for Optimal Learning
UAI 2025
FRACTAL: Fine-Grained Scoring from Aggregate Text Labels
ACL 2025
Learning from Label Proportions and Covariate-shifted Instances
UAI 2025
DIMSIM: Distilled Multilingual Critics for Indic Text Simplification
ACL 2024
Fairness under Covariate Shift: Improving Fairness-Accuracy Tradeoff with Few Unlabeled Test Samples
AAAI 2024
Generalization and Learnability in Multiple Instance Regression
UAI 2024
Learning from Label Proportions: Bootstrapping Supervised Learners via Belief Propagation
ICLR 2024
Bi-Phone: Modeling Inter Language Phonetic Influences in Text
ACL 2023
PAC Learning Linear Thresholds from Label Proportions
NeurIPS 2023
ReTAG: Reasoning Aware Table to Analytic Text Generation
EMNLP 2023
CoCoa: An Encoder-Decoder Model for Controllable Code-switched Generation
EMNLP 2022
On Combining Bags to Better Learn from Label Proportions
AISTATS 2022
T-STAR: Truthful Style Transfer using AMR Graph as Intermediate Representation
EMNLP 2022
HintedBT: Augmenting Back-Translation with Quality and Transliteration Hints
EMNLP 2021