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Rethinking Task-Incremental Learning Baselines

Rethinking Task-Incremental Learning Baselines

International Conference on Pattern Recognition (ICPR), 2022
23 May 2022
Md. Rejwanul Hossain
P. Saha
T. Chowdhury
Shafin Rahman
Fuad Rahman
Nabeel Mohammed
    CLL
ArXiv (abs)PDFHTML

Papers citing "Rethinking Task-Incremental Learning Baselines"

4 / 4 papers shown
Title
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution Detection
H2ST: Hierarchical Two-Sample Tests for Continual Out-of-Distribution DetectionComputer Vision and Pattern Recognition (CVPR), 2025
Yuhang Liu
Wenjie Zhao
Yunhui Guo
OODD
195
1
0
19 Mar 2025
FETCH: A Memory-Efficient Replay Approach for Continual Learning in
  Image Classification
FETCH: A Memory-Efficient Replay Approach for Continual Learning in Image Classification
Markus Weißflog
P. Protzel
Peer Neubert
132
1
0
17 Jul 2024
ViLCo-Bench: VIdeo Language COntinual learning Benchmark
ViLCo-Bench: VIdeo Language COntinual learning BenchmarkNeural Information Processing Systems (NeurIPS), 2024
Tianqi Tang
Shohreh Deldari
Hao Xue
Celso De Melo
Flora D. Salim
CLL
222
5
0
19 Jun 2024
Online Continual Learning For Interactive Instruction Following Agents
Online Continual Learning For Interactive Instruction Following AgentsInternational Conference on Learning Representations (ICLR), 2024
Byeonghwi Kim
Minhyuk Seo
Jonghyun Choi
CLLLM&Ro
260
20
0
12 Mar 2024
1