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Learning Paradigms

14,108 papers (9 classified directly here)

Subtopics

Transfer Learning (8,166) Few-Shot Learning (2,562) Meta-Learning (1,529) Federated Learning (1,360) Zero-Shot Learning (867) Multi-Task Learning (135) Continual Learning (118) Domain Adaptation (117) Self-Supervised Learning (100) Active Learning (75) Semi-Supervised Learning (41) Unsupervised Learning (26) In-Context Learning (19) Weakly Supervised Learning (11) Domain Generalization (9)

Papers per year

4
19
58
1128
2227
'05
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Papers (including subtopics)

LAMP: Extracting Text from Gradients with Language Model Priors NIPS 2022
Neural Attentive Circuits NIPS 2022
Meta-Reinforcement Learning with Self-Modifying Networks NIPS 2022
FairVFL: A Fair Vertical Federated Learning Framework with Contrastive Adversarial Learning NIPS 2022
Factored DRO: Factored Distributionally Robust Policies for Contextual Bandits NIPS 2022
Could Giant Pre-trained Image Models Extract Universal Representations? NIPS 2022
GAR: Generalized Autoregression for Multi-Fidelity Fusion NIPS 2022
FedPop: A Bayesian Approach for Personalised Federated Learning NIPS 2022
AutoWS-Bench-101: Benchmarking Automated Weak Supervision with 100 Labels NIPS 2022
DetCLIP: Dictionary-Enriched Visual-Concept Paralleled Pre-training for Open-world Detection NIPS 2022
pFL-Bench: A Comprehensive Benchmark for Personalized Federated Learning NIPS 2022
Object Scene Representation Transformer NIPS 2022
Few-shot Learning for Feature Selection with Hilbert-Schmidt Independence Criterion NIPS 2022
ZeroC: A Neuro-Symbolic Model for Zero-shot Concept Recognition and Acquisition at Inference Time NIPS 2022
Sparse Structure Search for Delta Tuning NIPS 2022
Maximum-Likelihood Inverse Reinforcement Learning with Finite-Time Guarantees NIPS 2022
Near-Optimal Private and Scalable $k$-Clustering NIPS 2022
Temporal Latent Bottleneck: Synthesis of Fast and Slow Processing Mechanisms in Sequence Learning NIPS 2022
DReS-FL: Dropout-Resilient Secure Federated Learning for Non-IID Clients via Secret Data Sharing NIPS 2022
On Convergence of FedProx: Local Dissimilarity Invariant Bounds, Non-smoothness and Beyond NIPS 2022
Provably Feedback-Efficient Reinforcement Learning via Active Reward Learning NIPS 2022
Models Out of Line: A Fourier Lens on Distribution Shift Robustness NIPS 2022
Learning low-dimensional generalizable natural features from retina using a U-net NIPS 2022
Improving Multi-Task Generalization via Regularizing Spurious Correlation NIPS 2022
Increasing the Scope as You Learn: Adaptive Bayesian Optimization in Nested Subspaces NIPS 2022