Knowledge Evolution in Neural Networks

9 March 2021

Papers citing "Knowledge Evolution in Neural Networks"

10 / 10 papers shown

Title
Dual Process Learning: Controlling Use of In-Context vs. In-Weights Strategies with Weight Forgetting Suraj Anand Michael A. Lepori Jack Merullo Ellie Pavlick CLL 29 6 0 28 May 2024
Reset It and Forget It: Relearning Last-Layer Weights Improves Continual and Transfer Learning Lapo Frati Neil Traft Jeff Clune Nick Cheney CLL 19 0 0 12 Oct 2023
Improving Language Plasticity via Pretraining with Active Forgetting Yihong Chen Kelly Marchisio Roberta Raileanu David Ifeoluwa Adelani Pontus Stenetorp Sebastian Riedel Mikel Artetx KELM AI4CE CLL 28 23 0 03 Jul 2023
The Dormant Neuron Phenomenon in Deep Reinforcement Learning Ghada Sokar Rishabh Agarwal P. S. Castro Utku Evci CLL 40 88 0 24 Feb 2023
Data Redaction from Pre-trained GANs Zhifeng Kong Kamalika Chaudhuri 45 16 0 29 Jun 2022
When Does Re-initialization Work? Sheheryar Zaidi Tudor Berariu Hyunjik Kim J. Bornschein Claudia Clopath Yee Whye Teh Razvan Pascanu 30 10 0 20 Jun 2022
The Primacy Bias in Deep Reinforcement Learning Evgenii Nikishin Max Schwarzer P. DÓro Pierre-Luc Bacon Aaron C. Courville OnRL 88 178 0 16 May 2022
Fortuitous Forgetting in Connectionist Networks Hattie Zhou Ankit Vani Hugo Larochelle Aaron Courville CLL 6 42 0 01 Feb 2022
The Lottery Ticket Hypothesis for Object Recognition Sharath Girish Shishira R. Maiya Kamal Gupta Hao Chen L. Davis Abhinav Shrivastava 75 60 0 08 Dec 2020
Neural Architecture Search with Reinforcement Learning Barret Zoph Quoc V. Le 264 5,326 0 05 Nov 2016