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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)

Lambda: Learning Matchable Prior For Entity Alignment with Unlabeled Dangling Cases NeurIPS 2024 LAMM: Label Alignment for Multi-Modal Prompt Learning AAAI 2024 LAMPAT: Low-Rank Adaption for Multilingual Paraphrasing Using Adversarial Training AAAI 2024 LaMPilot: An Open Benchmark Dataset for Autonomous Driving with Language Model Programs CVPR 2024 LAMP: Learn A Motion Pattern for Few-Shot Video Generation CVPR 2024 LANDeRMT: Dectecting and Routing Language-Aware Neurons for Selectively Finetuning LLMs to Machine Translation ACL 2024 LangBridge: Multilingual Reasoning Without Multilingual Supervision ACL 2024 Langevin Unlearning: A New Perspective of Noisy Gradient Descent for Machine Unlearning NeurIPS 2024 LangSuit·E: Planning, Controlling and Interacting with Large Language Models in Embodied Text Environments ACL 2024 Language-aware Visual Semantic Distillation for Video Question Answering CVPR 2024 Language Concept Erasure for Language-invariant Dense Retrieval EMNLP 2024 Language-conditioned Detection Transformer CVPR 2024 Language-Driven Anchors for Zero-Shot Adversarial Robustness CVPR 2024 Language-driven Grasp Detection CVPR 2024 Language-guided Image Reflection Separation CVPR 2024 Language-Guided Transformer for Federated Multi-Label Classification AAAI 2024 Language is All a Graph Needs EACL 2024 Language Model Based Unsupervised Dependency Parsing with Conditional Mutual Information and Grammatical Constraints NAACL 2024 Language Model Detectors Are Easily Optimized Against ICLR 2024 Language Models are Surprisingly Fragile to Drug Names in Biomedical Benchmarks EMNLP 2024 Language Models as Black-Box Optimizers for Vision-Language Models CVPR 2024 Language Models as Semantic Indexers ICML 2024 Language Models can Evaluate Themselves via Probability Discrepancy ACL 2024 Language Models can Exploit Cross-Task In-context Learning for Data-Scarce Novel Tasks ACL 2024 Language Models Do Hard Arithmetic Tasks Easily and Hardly Do Easy Arithmetic Tasks ACL 2024