Search Results for author: Soumya Banerjee

Found 16 papers, 5 papers with code

Neural networks for abstraction and reasoning: Towards broad generalization in machines

1 code implementation5 Feb 2024 Mikel Bober-Irizar, Soumya Banerjee

We present the Perceptual Abstraction and Reasoning Language (PeARL) language, which allows DreamCoder to solve ARC tasks, and propose a new recognition model that allows us to significantly improve on the previous best implementation. We also propose a new encoding and augmentation scheme that allows large language models (LLMs) to solve ARC tasks, and find that the largest models can solve some ARC tasks.

Visual Reasoning

Performance Analysis of Fixed Broadband Wireless Access in mmWave Band in 5G

1 code implementation28 Nov 2023 Soumya Banerjee, Sarada Prasad Gochhayat, Sachin Shetty

This work investigates transmission data from fixed broadband wireless access in the mmWave band in 5G.

VERSE: Virtual-Gradient Aware Streaming Lifelong Learning with Anytime Inference

no code implementations15 Sep 2023 Soumya Banerjee, Vinay K. Verma, Avideep Mukherjee, Deepak Gupta, Vinay P. Namboodiri, Piyush Rai

Streaming lifelong learning is a challenging setting of lifelong learning with the goal of continuous learning in a dynamic non-stationary environment without forgetting.

Continual Learning Representation Learning

Streaming LifeLong Learning With Any-Time Inference

no code implementations27 Jan 2023 Soumya Banerjee, Vinay Kumar Verma, Vinay P. Namboodiri

Despite rapid advancements in lifelong learning (LLL) research, a large body of research mainly focuses on improving the performance in the existing \textit{static} continual learning (CL) setups.

Continual Learning Management

Class Incremental Online Streaming Learning

no code implementations20 Oct 2021 Soumya Banerjee, Vinay Kumar Verma, Toufiq Parag, Maneesh Singh, Vinay P. Namboodiri

We propose a novel approach (CIOSL) for the class-incremental learning in an \emph{online streaming setting} to address these challenges.

Class Incremental Learning Incremental Learning +1

Variational Rejection Particle Filtering

no code implementations29 Mar 2021 Rahul Sharma, Soumya Banerjee, Dootika Vats, Piyush Rai

We present a variational inference (VI) framework that unifies and leverages sequential Monte-Carlo (particle filtering) with \emph{approximate} rejection sampling to construct a flexible family of variational distributions.

Variational Inference

Segmenting Scientific Abstracts into Discourse Categories: A Deep Learning-Based Approach for Sparse Labeled Data

1 code implementation11 May 2020 Soumya Banerjee, Debarshi Kumar Sanyal, Samiran Chattopadhyay, Plaban Kumar Bhowmick, Parthapratim Das

In the biomedical literature, it is customary to structure an abstract into discourse categories like BACKGROUND, OBJECTIVE, METHOD, RESULT, and CONCLUSION, but this segmentation is uncommon in other fields like computer science.

Segmentation Sequential sentence segmentation +1

A Multi-Agent System Approach to Load-Balancing and Resource Allocation for Distributed Computing

no code implementations21 Sep 2015 Soumya Banerjee, Joshua Hecker

In this research we use a decentralized computing approach to allocate and schedule tasks on a massively distributed grid.

Distributed Computing Scheduling

Scale Invariance of Immune System Response Rates and Times: Perspectives on Immune System Architecture and Implications for Artificial Immune Systems

1 code implementation8 Aug 2010 Soumya Banerjee, Melanie Moses

We find that a sub-modular NIS architecture, in which lymph node number and size both increase sublinearly with body size, efficiently balances the tradeoff between local pathogen detection and global response using antibodies.

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