Dibakar Gope

According to our database1, Dibakar Gope authored at least 25 papers between 2012 and 2023.

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Bibliography

2023
PerfSAGE: Generalized Inference Performance Predictor for Arbitrary Deep Learning Models on Edge Devices.
CoRR, 2023

Jumping through Local Minima: Quantization in the Loss Landscape of Vision Transformers.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022
CPT-V: A Contrastive Approach to Post-Training Quantization of Vision Transformers.
CoRR, 2022

Restructurable Activation Networks.
CoRR, 2022

Collapsible Linear Blocks for Super-Efficient Super Resolution.
Proceedings of Machine Learning and Systems 2022, 2022

Super-Efficient Super Resolution for Fast Adversarial Defense at the Edge.
Proceedings of the 2022 Design, Automation & Test in Europe Conference & Exhibition, 2022

2021
Compressing RNNs to Kilobyte Budget for IoT Devices Using Kronecker Products.
ACM J. Emerg. Technol. Comput. Syst., 2021

MicroNets: Neural Network Architectures for Deploying TinyML Applications on Commodity Microcontrollers.
Proceedings of Machine Learning and Systems 2021, 2021

2020
High Throughput Matrix-Matrix Multiplication between Asymmetric Bit-Width Operands.
CoRR, 2020

The gem5 Simulator: Version 20.0+.
CoRR, 2020

Understanding the Impact of Dynamic Channel Pruning on Conditionally Parameterized Convolutions.
Proceedings of the AIChallengeIoT@SenSys 2020: Proceedings of the 2nd International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things, 2020

Pushing the Envelope of Dynamic Spatial Gating technologies.
Proceedings of the AIChallengeIoT@SenSys 2020: Proceedings of the 2nd International Workshop on Challenges in Artificial Intelligence and Machine Learning for Internet of Things, 2020

Rank and run-time aware compression of NLP Applications.
Proceedings of SustaiNLP: Workshop on Simple and Efficient Natural Language Processing, 2020

Ternary MobileNets via Per-Layer Hybrid Filter Banks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2019
Compressing RNNs for IoT devices by 15-38x using Kronecker Products.
CoRR, 2019

Pushing the limits of RNN Compression.
Proceedings of the Fifth Workshop on Energy Efficient Machine Learning and Cognitive Computing, 2019

Ternary Hybrid Neural-Tree Networks for Highly Constrained IoT Applications.
Proceedings of Machine Learning and Systems 2019, 2019

Run-Time Efficient RNN Compression for Inference on Edge Devices.
Proceedings of the 2nd Workshop on Energy Efficient Machine Learning and Cognitive Computing for Embedded Applications, 2019

2018
A Case for Scoped Persist Barriers in GPUs.
Proceedings of the 11th Workshop on General Purpose Processing using GPUs, 2018

2017
The CURE: Cluster Communication Using Registers.
ACM Trans. Embed. Comput. Syst., 2017

Architectural Support for Server-Side PHP Processing.
Proceedings of the 44th Annual International Symposium on Computer Architecture, 2017

2016
Hash Map Inlining.
Proceedings of the 2016 International Conference on Parallel Architectures and Compilation, 2016

2014
Bias-Free Branch Predictor.
Proceedings of the 47th Annual IEEE/ACM International Symposium on Microarchitecture, 2014

Atomic SC for simple in-order processors.
Proceedings of the 20th IEEE International Symposium on High Performance Computer Architecture, 2014

2012
Maximizing crosstalk-induced slowdown during path delay test.
Proceedings of the 30th International IEEE Conference on Computer Design, 2012


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