digantamisra98,Xa9aX ツ,github

Hi there!

I'm Diganta Misra, founder of a research group Landskape, and a Research MSc in CS (Machine Learning specialization) at MILA, Montreal affiliated with UdeM supervised by Professor Irina Rish. I also am a Visiting Research Scholar at VITA, UT Austin. I mostly focus on Abstract Algebra, Computer Vision, Mean Field Theory, Continual Learning, Convex Optimization, Deep Learning Theory and Non-Linear Dynamics.

News & Updates: (Click to expand)

October 2023: Our work on "Mitigating Mode Collapse in Sparse Mixture of Experts" is accepted to New in ML workshop, NeurIPS, 2023.
October 2023: Our work on "Shapley Interactions for Complex Feature Attribution" is accepted to NeurIPS ATTRIB workshop, 2023.
August 2023: Our new preprint on Reprogramming under constraints is now out on ArXiv.
August 2023: Gave an invited talk at TU Eindoven on Learning under constraints.
June 2023: I will be joining HSL, CMU in Fall 2023 as a Visiting Researcher.
May 2023: Our work on Challenging Common Assumptions about Catastrophic Forgetting got accepted to CoLLAs, 2023.
May 2023: Gave an invited talk at VITA, UT-Austin on Multi-Domain Expert Layers.
April 2023: Our work on Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models got accepted to TMLR.
March 2023: Our work on Pruning CodeBERT for Improved Code-to-Text Efficiency is accepted to the Sparsity in Neural Network (SNN) workshop @ ICLR, 2023.
November 2022: Gave a talk titled Modality agnostic adaptation in deep learning at the IBM Generalisation talk series.
November 2022: Our work on APP: Anytime Progressive Pruning is accepted to the SlowDNN workshop, 2023.
November 2022: Our work on APP: Anytime Progressive Pruning is accepted to the Continual Lifelong Learning (CLL) workshop at ACML, 2022.
July 2022: Our work on APP: Anytime Progressive Pruning is accepted to the Sparsity in Neural Network (SNN) workshop, 2022.
June 2022: Our work on Scaling the Number of Tasks in Continual Learning got accepted to the CoLLAs 2022 workshop.
June 2022: Our work on APP: Anytime Progressive Pruning is accepted to the Dynamic Neural Network (DyNN) workshop at ICML, 2022.
May 2022: Awarded the MILA Entrepreneurs Grant worth CAD$5,000.
May 2022: Awarded the AI Week 2022 Student Travel Bursary worth CAD$1,500.
April 2022: Awarded the UNIQUE AI Excellence Scholarship worth C$10,000.
April 2022: The preprint of our paper APP: Anytime Progressive Pruning is out now.
April 2022: I am starting as a researcher at Morgan Stanley.
March 2022: Awarded the DIRO x Quebec Ministry of Higher Education international students scholarship worth C$4000.
February 2022: I will be serving as a Program Committee member for Conference on Lifelong Learning Agents(CoLLA) 2022.
January 2022: I am selected to be a part of the MILA Winter 2022 Entrepreneurs Cohort.
December 2021: I will be serving as a teaching assistant for the INF8225: Probabilistic Learning at Polytechnique University taught by Christopher J. Pal for the Winter 2022 semester.
August 2021: Our fine grained tense modification task was accepted to Google's Big Bench.
July 2021: I am also joining the VITA, UT-Austin as a Visiting Research Scholar to work on sparsity under the guidance of Assistant Professor Zhangyang Wang.
May 2021: We are organizing the Spring Edition of the Weights & Biases ML Reproducibility Challenge. Visit our page to learn more.
May 2021: I will be joining MILA as a graduate student this fall '21 under the supervision of Professor Irina Rish.
January 2021: Our WACV paper's video is now out on YouTube. Watch it here.
January 2021: I will be speaking at the W&B Deep Learning Salon on "From Smooth Activations to Robustness to Catastrophic Forgetting". I will be joined by Maithra Raghu from Google Brain. Watch it here.
December 2020: I'm starting full time as a Machine Learning Engineer at Weights & Biases.
October 2020: Our paper Rotate to Attend: Convolutional Triplet Attention Module is accepted to WACV 2021.
September 2020: Gave a talk on my paper on Mish at the Robert Bosch Bangalore Research Office.
August 2020: I completed my Undegraduate degree in Electronics and Electrical Engineering from Kalinga Institute of Industrial Technology (KIIT).
August 2020: Gave a talk on Mish and Non-Linear Dynamics at Computer Vision Talks. Watch here.
July 2020: My paper Mish: A Self Regularized Non-Monotonic Neural Activation Function is accepted at BMVC 2020.
July 2020: CROWN: A comparison of morphology for Mish, Swish and ReLU produced in collaboration with Javier Ideami. Watch here.
May 2020: Participated in an AMA for my paper on Mish at the Weights & Biases reading group.
April 2020: Presented my views and discussed about Data Science on the The World is Ending Podcast. Listen to the episode here.
February 2020: Talk on Mish and Non-Linear Dynamics at Sicara is out now. Watch here.
February 2020: Podcast episode on Mish at Machine Learning Café is out now. Listen here.
November 2019: Presented a talk on my paper on Mish at the University of Athens.

For more updates, please visit my personal webpage.

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