activity
20202025
most citedDeep Neural Compression Via Concurrent Pruning and Self-Distillation

3 citations · 4 across the 7 of their papers we have counts for

collaborators

7 papers

cs.CL2025

DROID: Dual Representation for Out-of-Scope Intent Detection

Wael Rashwan, Hossam M. Zawbaa, Sourav Dutta +1

Detecting out-of-scope (OOS) user utterances remains a key challenge in task-oriented dialogue systems and, more broadly, in open-set intent recognition. Existing approaches often…

cs.CL2024

Improved Out-of-Scope Intent Classification with Dual Encoding and Threshold-based Re-Classification

Hossam M. Zawbaa, Wael Rashwan, Sourav Dutta +1

Detecting out-of-scope user utterances is essential for task-oriented dialogues and intent classification. Current methodologies face difficulties with the unpredictable distributi…

cs.CL2024

Enhancing Contextual Understanding in Large Language Models through Contrastive Decoding

Zheng Zhao, Emilio Monti, Jens Lehmann +1

Large language models (LLMs) tend to inadequately integrate input context during text generation, relying excessively on encoded prior knowledge in model parameters, potentially re…

cs.CL2022

Aligned Weight Regularizers for Pruning Pretrained Neural Networks

James O' Neill, Sourav Dutta, Haytham Assem

While various avenues of research have been explored for iterative pruning, little is known what effect pruning has on zero-shot test performance and its potential implications on…

cs.LG2021★ 3 cited

Deep Neural Compression Via Concurrent Pruning and Self-Distillation

James O' Neill, Sourav Dutta, Haytham Assem

Pruning aims to reduce the number of parameters while maintaining performance close to the original network. This work proposes a novel \emph{self-distillation} based pruning strat…

cs.IR2021★ 1 cited

Sequence-to-Sequence Learning on Keywords for Efficient FAQ Retrieval

Sourav Dutta, Haytham Assem, Edward Burgin

Frequently-Asked-Question (FAQ) retrieval provides an effective procedure for responding to user's natural language based queries. Such platforms are becoming common in enterprise…

cs.CL2020

Unsupervised Word Translation Pairing using Refinement based Point Set Registration

Silviu Oprea, Sourav Dutta, Haytham Assem

Cross-lingual alignment of word embeddings play an important role in knowledge transfer across languages, for improving machine translation and other multi-lingual applications. Cu…