06.Reading list

1.  Attention is all you need. NIPS 2017.

Taken by Bhaskar Verma, Anushka Doke, Varenya Upadhyaya, Pranav Vinod, to be presented on Apr 22.

2.  High-Resolution Image Synthesis with Latent Diffusion Models. CVPR 2022.

Taken by Vignesh Pamala, Saketh Rao Chennamaneni, Mdlqbal Hossain, Madhu Sudan Veerla, to be presented on Apr 22.

3.  Deep Residual Learning for Image Recognition. CVPR 2016.

Taken by Jade Silvia, Sarthak Acharekar, José Miguel Medeiros, and Omokhefe Ilalokhoin, to be presented on Apr 15.

4. Sora: A Review on Background, Technology, Limitations, and Opportunities of Large Vision Models. OpenAI 2024.

Taken by  Shreyash Tiwari, RishitVelabhai Prajapati, Chakravarthi Boora, to be presented on Apr 8. 

5.  BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding. 2018

Taken by Lauren Milne, HaiShuo Shu, Shan Tariq, Haolan Zheng, to be presented on Apr 22.

6. Language Models are Few-Shot Learners. NeurIPS 2020.

Taken by Mostafa Khazaee Kuhpar, Ladan Sadat Louhghalam, Fatemeh Salboukh, Mohammad Pourghasemi Saghand, to be presented on Apr 15.

7.  DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning. DeepSeek 2025. 

Taken by Goktug Ekinci, Ricardo Kabila, Daniel M Murray, Eric Timothy Faith, to be presented on Apr 15.

8.  Highly accurate protein structure prediction with AlphaFold. Nature 2021.

Taken by Niruhanaidu Yedla, Nikhilesh Narkhede, HemanthChandra Rudra, Anil Kumar, VikasReddy Kothapalli, to be presented on Apr 22.

9.  Mastering Chess and Shogi by Self-Play with a General Reinforcement Learning Algorithm. DeepMind 2017.

Taken by Srijana Mada and Ranjitha Suresh, to be presented on Apr 8.

10.  Chain-of-Thought Prompting Elicits Reasoning in Large Language Models. NeurIPS 2022. 

Taken by Ajmal Abbas, Aswin Sankar, Pratheswaran Hariharan, Rohith Kumar，to be presented on Apr 15.