Divya Jyoti Bajpai

25 papers A* 1Misc 1Journal 15Unranked 8
YearRankTypeTitle / Venue / Authors
2026 Misc conf
Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach.
COMSNETS
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
2026 J jnl
FastFlow: Accelerating The Generative Flow Matching Models with Bandit Inference.
CoRR
Divya Jyoti Bajpai, Dhruv Bhardwaj, Soumya Roy, Tejas Duseja, Harsh Agarwal, Aashay Sandansing, Manjesh Kumar Hanawal
2026 J jnl
FlowCast: Trajectory Forecasting for Scalable Zero-Cost Speculative Flow Matching.
CoRR
Divya Jyoti Bajpai, Shubham Agarwal, Apoorv Saxena, Kuldeep Kulkarni, Subrata Mitra, Manjesh Kumar Hanawal
2025 J jnl
A Survey of Early Exit Deep Neural Networks in NLP.
CoRR
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
2025 A* conf
BEEM: Boosting Performance of Early Exit DNNs using Multi-Exit Classifiers as Experts.
ICLR
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
2025 J jnl
BEEM: Boosting Performance of Early Exit DNNs using Multi-Exit Classifiers as Experts.
CoRR
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
2025 J jnl
Beyond Greedy Exits: Improved Early Exit Decisions for Risk Control and Reliability.
CoRR
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
2025 — conf
Distributed Inference on Mobile Edge and Cloud: An Early Exit Based Clustering Approach.
ICC
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
2025 — conf
FREE: Fast and Robust Vision Language Models with Early Exits.
ACL (Findings)
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
2025 J jnl
FREE: Fast and Robust Vision Language Models with Early Exits.
CoRR
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
2025 — conf
FastVLM: Self-Speculative Decoding for Fast Vision-Language Model Inference.
IJCNLP-AACL (long papers)
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
2025 J jnl
FastVLM: Self-Speculative Decoding for Fast Vision-Language Model Inference.
CoRR
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
2025 J jnl
Know What You Don't Know: Selective Prediction for Early Exit DNNs.
CoRR
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
2024 J jnl
CAPEEN: Image Captioning with Early Exits and Knowledge Distillation.
CoRR
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
2024 J jnl
CEEBERT: Cross-Domain Inference in Early Exit BERT.
CoRR
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
2024 — conf
CapEEN: Image Captioning with Early Exits and Knowledge Distillation.
EMNLP (Findings)
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
2024 — conf
CeeBERT: Cross-Domain Inference in Early Exit BERT.
ACL (Findings)
Divya Jyoti Bajpai, Manjesh K. Hanawal
2024 — conf
DAdEE: Unsupervised Domain Adaptation in Early Exit PLMs.
EMNLP (Findings)
Divya Jyoti Bajpai, Manjesh K. Hanawal
2024 J jnl
DAdEE: Unsupervised Domain Adaptation in Early Exit PLMs.
CoRR
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
2024 J jnl
Distributed Inference on Mobile Edge and Cloud: A Data-Cartography based Clustering Approach.
CoRR
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
2024 J jnl
Distributed Inference on Mobile Edge and Cloud: An Early Exit based Clustering Approach.
CoRR
Divya Jyoti Bajpai, Manjesh Kumar Hanawal
2024 — conf
FAIR: Filtering of Automatically Induced Rules.
EACL (1)
Divya Jyoti Bajpai, Ayush Maheshwari, Manjesh Kumar Hanawal, Ganesh Ramakrishnan
2024 J jnl
FAIR: Filtering of Automatically Induced Rules.
CoRR
Divya Jyoti Bajpai, Ayush Maheshwari, Manjesh Kumar Hanawal, Ganesh Ramakrishnan
2024 J jnl
I-SplitEE: Image classification in Split Computing DNNs with Early Exits.
CoRR
Divya Jyoti Bajpai, Aastha Jaiswal, Manjesh Kumar Hanawal
2023 — conf
SplitEE: Early Exit in Deep Neural Networks with Split Computing.
AIMLSystems
Divya Jyoti Bajpai, Vivek Kumar Trivedi, Sohan L. Yadav, Manjesh Kumar Hanawal