SOTAVerified

Memorization

Papers

Recently AddedMost HypedMost ActiveNeeds VerificationMost Verified

Showing 826–850 of 1088 papers

TitleStatusHype
Polling Latent Opinions: A Method for Computational Sociolinguistics Using Transformer Language Models—0
Quantifying Adaptability in Pre-trained Language Models with 500 Tasks—0
Universal Online Learning: an Optimistically Universal Learning Rule—0
Semantics-Preserved Distortion for Personal Privacy Protection in Information Management—0
Counterfactual Memorization in Neural Language Models—0
Economics of Innovation and Perceptions of Renewed Education and Curriculum Design in Bangladesh—0
Learning Positional Embeddings for Coordinate-MLPs—0
Lifelong Unsupervised Domain Adaptive Person Re-identification with Coordinated Anti-forgetting and Adaptation—0
SHAPr: An Efficient and Versatile Membership Privacy Risk Metric for Machine Learning—0
On Memorization in Probabilistic Deep Generative ModelsCode0
ModelPred: A Framework for Predicting Trained Model from Training DataCode0
FFNB: Forgetting-Free Neural Blocks for Deep Continual Visual Learning—0
Enhanced Membership Inference Attacks against Machine Learning Models—0
Data Contamination: From Memorization to Exploitation—0
LOPS: Learning Order Inspired Pseudo-Label Selection for Weakly Supervised Text Classification—0
Regularising Fisher Information Improves Cross-lingual Generalisation—0
Combining Recurrent, Convolutional, and Continuous-time Models with Linear State-Space Layers—0
Challenges in Procedural Multimodal Machine Comprehension:A Novel Way To Benchmark—0
On the Optimal Memorization Power of ReLU Neural Networks—0
The Low-Resource Double Bind: An Empirical Study of Pruning for Low-Resource Machine TranslationCode0
How BPE Affects Memorization in Transformers—0
Unleash the Potential of Adaptation Models via Dynamic Domain Labels—0
Stop just recalling memorized relations: Extracting Unseen Relational Triples from the context—0
Distributed Skellam Mechanism: a Novel Approach to Federated Learning with Differential Privacy—0
Can Label-Noise Transition Matrix Help to Improve Sample Selection and Label Correction?—0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1PaLM-540B (few-shot, k=5)Accuracy95.4—Unverified
2Gopher-280B (few-shot, k=5)Accuracy80—Unverified
3PaLM-62B (few-shot, k=5)Accuracy77.7—Unverified