ConOffense: Multi-modal multitask Contrastive learning for offensive content identification. - Debaditya Shome; Tejaswini Kar (IEEE BigData, 2021)

Deep Q-learning for 5G network slicing with diverse resource stipulations and dynamic data traffic. - Debaditya Shome; Ankit Kudeshia (ICAIIC, 2021)

EmoHinD: Fine-grained multilabel emotion recognition from Hindi texts with Deep learning. - Debaditya Shome (ICCCNT, 2021)

FedAffect: Few-shot federated learning for facial expression recognition. - Debaditya Shome; Tejaswini Kar (ICCVW, 2021)

RestHAR: Residual Feature Learning Transformer for Human Activity Recognition from Multi-sensor Data. - Debaditya Shome (ISCMI, 2021)

Sum rate maximization of D2D networks with energy constrained UAVs through deep unsupervised learning. - Benjamin Lea; Debaditya Shome; Omer Waqar; Jabed H. Tomal (UEMCON, 2021)

Federated learning and next generation wireless communications: A survey on bidirectional relationship. - Debaditya Shome; Omer Waqar; Wali Ullah Khan (Trans. Emerg. Telecommun. Technol., 2022)

EXnet: Efficient In-context Learning for Data-less Text classification. - Debaditya Shome; Kuldeep Yadav (CoRR, 2023)

Region-Disentangled Diffusion Model for High-Fidelity PPG-to-ECG Translation. - Debaditya Shome; Pritam Sarkar; Ali Etemad (AAAI, 2024)

Speech Emotion Recognition with Distilled Prosodic and Linguistic Affect Representations. - Debaditya Shome; Ali Etemad (ICASSP, 2024)

NapTune: Efficient Model Tuning for Mood Classification using Previous Night's Sleep Measures along with Wearable Time-series. - Debaditya Shome; Nasim Montazeri Ghahjaverestan; Ali Etemad (ICMI, 2024)