vimarsh/repro-sample-margin-aware-recalibration-of-temperature-scaling-artifacts
13.3 MB
Vimarsh
vimarsh
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Recent Activity
updated a Space about 9 hours ago
vimarsh/repro-fedfit-federated-dynamic-sparse-training-via-fisher-information-scoring published a Space about 9 hours ago
vimarsh/repro-fedfit-federated-dynamic-sparse-training-via-fisher-information-scoring updated a Space about 10 hours ago
vimarsh/repro-event2vec-neuromorphic-events-vector-spaceOrganizations
buckets 31
vimarsh/repro-how-can-mamba-learn-in-context-with-outliers-and-generalize-provably-artifacts
4.09 MB
vimarsh/repro-how-can-mamba-learn-in-context-with-outliers-and-generalize-provably-bucket
4.09 MB
vimarsh/mamba-icl-outliers-jobs
153 kB
vimarsh/repro-deep-networks-learn-deep-hierarchical-models-artifacts
1.52 MB
vimarsh/repro-delving-into-muon-and-beyond-deep-analysis-and-extensions-artifacts
9.39 MB
spaces 21
Running
Reproduction: FedFit: Federated Dynamic Sparse Training via Fisher Information scoring
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Running
Reproduction: Event2Vec — Processing Neuromorphic Events Directly by Representations in Vector Space
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Reproduction: ToaSt: Token Channel Selection and Structured Pruning for Efficient ViT
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Running
Reproduction: A Capacity-Based Rationale for Multi-Head Attention
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Reproduction: Sample Margin-Aware Recalibration of Temperature Scaling
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Reproduction: How Can Mamba Learn In Context with Outliers and Generalize Provably?
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datasets 6
vimarsh/fedfit-repro-results
Viewer • Updated • 2
vimarsh/icml26081-capacity-results
Updated
vimarsh/smart-repro-imagenet-resnet50-logits
Updated • 6
vimarsh/repro-deep-hierarchical-models-results
Viewer • Updated • 13 • 9
vimarsh/repro-deep-hierarchical-models
Updated • 7
vimarsh/costaware-stopping-repro-6861
Viewer • Updated • 22 • 9