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Learning Types

56,253 papers (3 classified directly here)

Self-Supervised Learning (8,965) Adversarial Learning (5,204) Unsupervised Learning (4,874) Transfer Learning (4,808) Weakly Supervised Learning (3,938) Contrastive Learning (3,748) Zero-Shot Learning (3,130) Semi-Supervised Learning (3,128) Reinforcement Learning (3,118) Multi-Task Learning (2,556) Evaluation (2,164) Continual Learning (2,107) Active Learning (1,983) Few-Shot Learning (1,840) Deep Learning (1,404) Online Learning (1,360) Multi-Armed Bandits (1,327) Multimodal Learning (1,289) Supervised Learning (986) Multi-Agent Systems (813) Uncertainty Quantification (805) Causal Inference (636) Robustness (576) Retrieval-Augmented Generation (565) Fine-Tuning (490) Ensemble Learning (482) In-Context Learning (439) Multi-Label Classification (430) Imitation Learning (387) Prompt Engineering (270) Multi-Lingual Learning (269) Distribution Shift (264) Reinforcement Learning from Human Feedback (209) Regularization (207) Exploration-Exploitation (203) Generative Models (200) Multi-Objective Optimization (185) Out-of-Distribution Detection (176) Sparse Learning (165) Sampling (150) Preference Learning (136) Offline Reinforcement Learning (130) Multi-Label Learning (128) Markov Decision Process (127) Neural Architecture Search (122) Multi-Instance Learning (121) Multi-View Learning (117) Robust Learning (110) Generative Model (110) Time Series (108) Large Language Models (104) Exploration (103) Hyperparameter Optimization (99) Machine Unlearning (95) Imbalanced Learning (93) Machine Translation (93) Multi-Class Classification (85) Differential Privacy (82) Time Series Analysis (71) Reasoning (70) Calibration (67) Structure Learning (66) Physics-Informed Learning (62) Class Imbalance (58) Model-Based RL (55) Interactive Learning (55) Multi-Domain Learning (47) Inverse Reinforcement Learning (46) Crowdsourcing (40) Off-Policy Learning (38) Label Noise (38) Noisy Label Learning (35) Offline RL (32) Attention (32) Evolutionary Algorithm (32) Decision Making (31) Policy Learning (30) Personalization (28) Low-Resource Learning (26) Collaborative Filtering (25) Self-Training (24) Sequential Modeling (24) Parameter Estimation (23) Survival Analysis (21) Machine Learning (20) Parameter-Efficient Fine-Tuning (20) Synthetic Data Generation (20) Annotation (18) Symbolic Regression (18) AutoML (16) Security (15) Multi-Source Learning (13) Distant Supervision (13) Text Generation (11) Distributional Reinforcement Learning (9) Sentiment Analysis (9) Multi-Hop Reasoning (9) Language Modeling (9) Code Generation (8) Multi-Object Tracking (8) Natural Language Inference (7) Chain-of-Thought (6) Question Answering (5)
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Papers (including subtopics)

LJPCheck: Functional Tests for Legal Judgment Prediction ACL 2024 LLaFS: When Large Language Models Meet Few-Shot Segmentation CVPR 2024 LlamaCare: An Instruction Fine-Tuned Large Language Model for Clinical NLP COLING 2024 Llama meets EU: Investigating the European political spectrum through the lens of LLMs NAACL 2024 LLCP: Learning Latent Causal Processes for Reasoning-based Video Question Answer ICLR 2024 LLM2LLM: Boosting LLMs with Novel Iterative Data Enhancement ACL 2024 LLM4SGG: Large Language Models for Weakly Supervised Scene Graph Generation CVPR 2024 LLM as a metric critic for low resource relation identification EMNLP 2024 LLM as Prompter: Low-resource Inductive Reasoning on Arbitrary Knowledge Graphs ACL 2024 LLM-Assisted Code Cleaning For Training Accurate Code Generators ICLR 2024 LLM-based Medical Assistant Personalization with Short- and Long-Term Memory Coordination NAACL 2024 LLM-based Rewriting of Inappropriate Argumentation using Reinforcement Learning from Machine Feedback ACL 2024 LLM-Based Section Identifiers Excel on Open Source but Stumble in Real World Applications NAACL 2024 LLM-Based Synthetic Datasets: Applications and Limitations in Toxicity Detection COLING 2024 LLM Blueprint: Enabling Text-to-Image Generation with Complex and Detailed Prompts ICLR 2024 LLM-Check: Investigating Detection of Hallucinations in Large Language Models NeurIPS 2024 LLM Comparative Assessment: Zero-shot NLG Evaluation through Pairwise Comparisons using Large Language Models EACL 2024 LLMCrit: Teaching Large Language Models to Use Criteria ACL 2024 LLMEmbed: Rethinking Lightweight LLM’s Genuine Function in Text Classification ACL 2024 LLM-ESR: Large Language Models Enhancement for Long-tailed Sequential Recommendation NeurIPS 2024 LLM Evaluators Recognize and Favor Their Own Generations NeurIPS 2024 LLM-Evolve: Evaluation for LLM’s Evolving Capability on Benchmarks EMNLP 2024 LLMs are Good Action Recognizers CVPR 2024 LLMs Are Zero-Shot Context-Aware Simultaneous Translators EMNLP 2024 LLMs-as-Instructors: Learning from Errors Toward Automating Model Improvement EMNLP 2024