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Conference on Lifelong Learning Agents (CoLLAs) @UC3Th65-u7zIlgJH2opADV5g@youtube.com

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01:08:21
Continual Learning Beyond Catastrophic Forgetting in Class-Incremental Scenarios - PART II
49:26
Continual Learning Beyond Catastrophic Forgetting in Class-Incremental Scenarios - PART I
02:30:56
Exploring the Landscape of Learned Optimization
01:01:29
Why do neural networks lose plasticity? - Clare Lyle - CoLLAs 2023
01:07:26
Continual Learning as Computationally Constrained Reinforcement Learning - Ben Van Roy - CoLLAs 2023
57:30
Continual learning in the presence of Large pretrained models - Rahaf Aljundi - CoLLAs 2023
01:03:56
Continual Learning at Scale - Irina Rish -CoLLAs 2023
55:46
Unifying Continual Learning, OOD Detection and Open World Learning - Bing Liu - CoLLAs 2023
12:42
Using Meta-Gradient Descent for Predictive Feature Discovery in a Single Stream of Experience.
18:08
Meta-Gradients in Non-Stationary Environments - CoLLAs 2022
12:43
A Dataset Perspective on Offline Reinforcement Learning - CoLLAs 2022
12:46
CORA: Benchmarks, Baselines, and Metrics as a Platform for Continual Reinforcement Learning Agents.
14:16
Neural Distillation as a State Representation Bottleneck in Reinforcement Learning - CoLLAs 2022
20:20
Inherent Limitations of Multi-Task Fair Representations - CoLLAs 2022
11:52
Continual Learning with Foundation Models: An Empirical Study of Latent Replay - CoLLAs 2022
09:50
Predictive learning enables neural networks to learn complex working memory tasks - CoLLAs 2022
17:19
Test Sample Accuracy Scales with Training Sample Density in Neural Networks - CoLLAs 2022
12:58
Energy-Based Models for Continual Learning - CoLLAs 2022
15:12
Few-Shot Learning by Dimensionality Reduction in Gradient Space - CoLLAs 2022
14:34
How Does the Task Landscape Affect MAML Performance? - CoLLAs 2022
13:24
Practical tradeoffs between memory, compute, and performance in learned optimizers - CoLLAs 2022
12:48
Disentanglement and Generalization Under Correlation Shifts - CoLLAs 2022
59:30
Panel Discussion on 'Scaling on Deep Learning' - CoLLAs 2022
01:19:18
A Brief History of Inductive Transfer - Rich Caruana - CoLLAs 2022
01:02:13
Exploring the Limits of Large Scale Pre-training - Hanie Sedghi - CoLLAs 2022
01:03:05
Continuous Self-supervision and Curiosity - Abhinav Gupta - CoLLAs 2022
01:05:53
Modular & Causal Knowledge Representation for Lifelong Learning - Yoshua Bengio - CoLLAs 2022
01:03:10
Perspectives on knowledge acquisition & mobilization with neural net - Hugo Larochelle - CoLLAs 2022
56:10
Reconsidering Continual Learning Setups - Tinne Tuytelaars - CoLLAs 2022
01:11:21
Maintaining Plasticity in Deep Continual Learning - Rich Sutton - CoLLAs 2022