Sourav Dutta
13 papers · 2015–2024 · 6 venues · across top CS/AI venues
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Machine Learning
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Deep Learning
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Core AI
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Keywords
knowledge distillation
(2)
low-resource language
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model compression
(2)
unsupervised learning
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sentence embedding
(2)
continual learning
(1)
domain adaptation
(1)
representation learning
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transfer learning
(1)
few-shot learning
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neural network pruning
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sentiment analysis
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point set registration
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weakly supervised learning
(1)
multilingual translation
(1)
multi-task learning
(1)
cross-lingual transfer
(1)
neural machine translation
(1)
bilingual alignment
(1)
zero-shot learning
(1)
Papers
Improved Out-of-Scope Intent Classification with Dual Encoding and Threshold-based Re-Classification
COLING 2024
AdaSent: Efficient Domain-Adapted Sentence Embeddings for Few-Shot Classification
EMNLP 2023
Self-Distilled Quantization: Achieving High Compression Rates in Transformer-Based Language Models
ACL 2023
Aligned Weight Regularizers for Pruning Pretrained Neural Networks
ACL 2022
AX-MABSA: A Framework for Extremely Weakly Supervised Multi-label Aspect Based Sentiment Analysis
EMNLP 2022
Multi-Stage Framework with Refinement Based Point Set Registration for Unsupervised Bi-Lingual Word Alignment
COLING 2022
Cross-lingual Sentence Embedding using Multi-Task Learning
EMNLP 2021
EdinSaar@WMT21: North-Germanic Low-Resource Multilingual NMT
EMNLP 2021
UdS-DFKI@WMT20: Unsupervised MT and Very Low Resource Supervised MT for German-Upper Sorbian
EMNLP 2020
Fine-Grained Search Space Classification for Hard Enumeration Variants of Subset Problems
AAAI 2019
Inherent Weight Normalization in Stochastic Neural Networks
NeurIPS 2019
KOGNAC: Efficient Encoding of Large Knowledge Graphs
IJCAI 2016
C3EL: A Joint Model for Cross-Document Co-Reference Resolution and Entity Linking
EMNLP 2015