Learning Paradigms
14,967 papers (9 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Transfer Learning (8,172)
Few-Shot Learning (2,681)
Meta-Learning (1,719)
Federated Learning (1,560)
Zero-Shot Learning (878)
Continual Learning (189)
Domain Adaptation (184)
Self-Supervised Learning (158)
Active Learning (154)
Multi-Task Learning (145)
Semi-Supervised Learning (86)
In-Context Learning (53)
Unsupervised Learning (53)
Domain Generalization (26)
Weakly Supervised Learning (23)
Papers per year
3
2
4
12
24
14
20
29
31
32
66
53
67
103
206
482
852
1,124
1,566
1,867
2,410
2,658
2,486
856
'5
'10
'15
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Papers (including subtopics)
Retrieval Augmented Generation in Prompt-based Text-to-Speech Synthesis with Context-Aware Contrastive Language-Audio Pretraining
Interspeech 2024
Retrieval-Augmented Primitive Representations for Compositional Zero-Shot Learning
AAAI 2024
Retrieval-Augmented Retrieval: Large Language Models are Strong Zero-Shot Retriever
ACL 2024
Retrieval-Enhanced Contrastive Vision-Text Models
ICLR 2024
Retrieval-Retro: Retrieval-based Inorganic Retrosynthesis with Expert Knowledge
NeurIPS 2024
Retrieved Sequence Augmentation for Protein Representation Learning
EMNLP 2024
Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation
EMNLP 2024
Revamping Federated Learning Security from a Defender's Perspective: A Unified Defense with Homomorphic Encrypted Data Space
CVPR 2024
Revisit and Outstrip Entity Alignment: A Perspective of Generative Models
ICLR 2024
Revisiting Data Reconstruction Attacks on Real-world Dataset for Federated Natural Language Understanding
COLING 2024
Revisiting Ensembling in One-Shot Federated Learning
NeurIPS 2024
Revisiting Few-Shot Object Detection with Vision-Language Models
NeurIPS 2024
Revisiting Gradient Pruning: A Dual Realization for Defending against Gradient Attacks
AAAI 2024
Revisiting Open-Set Panoptic Segmentation
AAAI 2024
Revisiting the Domain Shift and Sample Uncertainty in Multi-source Active Domain Transfer
CVPR 2024
Revisiting the Markov Property for Machine Translation
EACL 2024
Revisiting the MIMIC-IV Benchmark: Experiments Using Language Models for Electronic Health Records
COLING 2024
Revitalizing Bahnaric Language through Neural Machine Translation: Challenges, Strategies, and Promising Outcomes
AAAI 2024
Reward Difference Optimization For Sample Reweighting In Offline RLHF
EMNLP 2024
Rewarding What Matters: Step-by-Step Reinforcement Learning for Task-Oriented Dialogue
EMNLP 2024
RFLPA: A Robust Federated Learning Framework against Poisoning Attacks with Secure Aggregation
NeurIPS 2024
RiddleMasters at SemEval-2024 Task 9: Comparing Instruction Fine-tuning with Zero-Shot Approaches
SemEval 2024
Rider Posture-Based Continuous Authentication with Few-Shot Learning for Mobility Scooters (Student Abstract)
AAAI 2024
RIFF: Learning to Rephrase Inputs for Few-shot Fine-tuning of Language Models
ACL 2024
Rigid Protein-Protein Docking via Equivariant Elliptic-Paraboloid Interface Prediction
ICLR 2024