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S.No.	Topic	Presenter	Date	Slides
1	Aggregation Cross-Entropy for Sequence Recognition	Somraj Gautam	16-11-2022
2	Few-Shot Class-Incremental Learning by Sampling Multi-Phase Tasks	Chiranjeev	09-11-2022
3	ClusterFit: Improving Generalization of Visual Representations	Yasmeena Akhter	02-11-2022
4	KAT: A Knowledge Augmented Transformer for Vision-and-Language	Abhirama Subramanyam	19-10-2022	Slides
5	Quantum Graph Neural Network	Anggy Eka Pratiwi	12-10-2022
6	Decoupled Knowledge Distillation	Mahapara Khurshid	28-09-2022
7	Hate begets Hate: A Temporal Study of Hate Speech	Swapnil Mane	21-09-2022	Slides
8	Unsupervised Visual Representation Learning by Tracking Patches in Video	Yogesh Kumar	14-09-2022
9	Revisiting Knowledge Distillation via Label Smoothing Regularization	Anubhooti Jain	07-09-2022
10	Deep learning for fake news detection on Twitter regarding the 2019 Hong Kong protests	Shubham Gupta	31-08-2022
11	Sketchformer: Transformer-based Representation for Sketched Structures	Niveditta	24-08-2022
12	GraphRNN: Generating Realistic Graphs with Deep Auto-regressive Model	Shraban Kumar Chatterjee	02-06-2022
13	Learning Efficient Representations for Fake Speech Detection	Rishabh Ranjan	26-05-2022
14	Learning RoI Transformer for Oriented Object Detection in Aerial Images	Nandini Saini	19-05-2022
15	Sub-Word Embeddings for OCR Corrections in Highly Fusional Indic Languages	Abhishek Bhandari	12-05-2022	Slides
16	DocFormer: End-to-End Transformer for Document Understanding	Akkshita Trivedi	05-05-2022	Slides
17	Multi-Label Zero-Shot Learning with Structured Knowledge Graphs	Sandeep Khanna	21-04-2022
18	Barlow Twins: Self-Supervised Learning via Redundancy Reduction	Asha Rani	07-04-2022
19	Blockchain-enabled feedback-based combinatorial double auction for cloud markets	Umang Barbhaya	31-03-2022	Slides
20	Bootstrap your own latent: A new approach to self-supervised Learning	Azad Singh	24-03-2022
21	Free Lunch for Few-shot Learning: Distribution Calibration	Neelu Verma	10-03-2022
22	Masksembles for Uncertainty Estimation	Ishan Mishra	03-03-2022
23	Learning Hierarchical Attention for Weakly-supervised Chest X-Ray Abnormality Localization and Diagnosis	Jayant Mahawar	24-02-2022	Slides
24	Meta Transfer Learning for Few-Shot Learning	Aiman Farooq	17-02-2022
25	DBA: Distributed Backdoor Attacks against Federated Learning	Anurag Saraswat	10-02-2022
26	Informative Dropout for Robust Representation Learning: A Shape-bias Perspective	Surbhi Mittal	03-02-2022	Slides
27	Federated Optimization in Heterogeneous Networks	Mayank Kumar	27-01-2022
28	Prediction of Heart Disease using Different KNN Classifier	Dhriti Prasanna Paul	20-01-2022	Slides
29	Adversarial Attack on Sentiment Analysis	Prasenjeet Roy	06-01-2022
30	Oscar: Object-Semantics Aligned Pre-training for Vision-Language Tasks	Abhirama Subramanyam	30-12-2021	Slides
31	Unsupervised Meta-Learning for Few-Shot Image Classification	Neelu Verma	23-12-2021
32	Boosting Few-Shot Visual Learning with Self-Supervision	Kartik Thakral	16-12-2021
33	A Community Detection Method for Social Network Based on Community Embedding	Anggy Eka Pratiwi	09-12-2021
34	Language Models are Few-Shot Learners	Srigowri M V	11-11-2021
35	CascadeTabNet: An approach for end to end table detection and structure recognition from image-based documents	Somraj Gautam	28-10-2021
36	Polarity Based Sarcasm Detection using Semigraph	Swapnil S. Mane	21-10-2021	Slides
37	Deep Mutual Learning	Yasmeena Akhter	07-10-2021
38	PEGASUS: Pre-training with Extracted Gap-sentences for Abstractive Summarization	Yash Kumar Singhal
39	Attention is all you need	Abhirama Subramanyam	13-08-2021	Slides