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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

Retrieval-augmented generation in multilingual settings ACL 2024 Retrieval Augmented Generation or Long-Context LLMs? A Comprehensive Study and Hybrid Approach EMNLP 2024 Retrieval-Augmented Knowledge Integration into Language Models: A Survey ACL 2024 Retrieval-Augmented Layout Transformer for Content-Aware Layout Generation CVPR 2024 Retrieval-enriched zero-shot image classification in low-resource domains EMNLP 2024 Retrieval Evaluation for Long-Form and Knowledge-Intensive Image–Text Article Composition EMNLP 2024 RetrievalQA: Assessing Adaptive Retrieval-Augmented Generation for Short-form Open-Domain Question Answering ACL 2024 Retrieval Robust to Object Motion Blur ECCV 2024 Retrieved In-Context Principles from Previous Mistakes EMNLP 2024 Retrieve-Plan-Generation: An Iterative Planning and Answering Framework for Knowledge-Intensive LLM Generation EMNLP 2024 Retrieving Examples from Memory for Retrieval Augmented Neural Machine Translation: A Systematic Comparison NAACL 2024 Retrieving, Rethinking and Revising: The Chain-of-Verification Can Improve Retrieval Augmented Generation EMNLP 2024 Retrospex: Language Agent Meets Offline Reinforcement Learning Critic EMNLP 2024 Re-Tuning: Overcoming the Compositionality Limits of Large Language Models with Recursive Tuning ACL 2024 Reusing Transferable Weight Increments for Low-resource Style Generation EMNLP 2024 Revealing Distribution Discrepancy by Sampling Transfer in Unlabeled Data NeurIPS 2024 Reverse-Engineering the Reader EMNLP 2024 Review-Enhanced Hierarchical Contrastive Learning for Recommendation AAAI 2024 Reviewing the Forgotten Classes for Domain Adaptation of Black-Box Predictors AAAI 2024 Revisiting Adversarial Training at Scale CVPR 2024 Revisiting Counterfactual Problems in Referring Expression Comprehension CVPR 2024 Revisiting Data Augmentation in Deep Reinforcement Learning ICLR 2024 Revisiting Demonstration Selection Strategies in In-Context Learning ACL 2024 Revisiting Ensembling in One-Shot Federated Learning NeurIPS 2024 Revisiting Interpolation Augmentation for Speech-to-Text Generation ACL 2024