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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)

Linear Causal Bandits: Unknown Graph and Soft Interventions NeurIPS 2024 Linear-Complexity Self-Supervised Learning for Speech Processing Interspeech 2024 Linear Distance Metric Learning with Noisy Labels JMLR 2024 Linearly Constrained Gaussian Processes are SkewGPs: application to Monotonic Preference Learning and Desirability UAI 2024 Linear Regression using Heterogeneous Data Batches NeurIPS 2024 Linear Regression With Unmatched Data: A Deconvolution Perspective JMLR 2024 Linear-Time Algorithms for Front-Door Adjustment in Causal Graphs AAAI 2024 Linear Transformers are Versatile In-Context Learners NeurIPS 2024 Linear Uncertainty Quantification of Graphical Model Inference NeurIPS 2024 Linguistically Communicating Uncertainty in Patient-Facing Risk Prediction Models EACL 2024 Linguistic-Aware Patch Slimming Framework for Fine-grained Cross-Modal Alignment CVPR 2024 LingWav2Vec2: Linguistic-augmented wav2vec 2.0 for Vietnamese Mispronunciation Detection Interspeech 2024 LINKAGE: Listwise Ranking among Varied-Quality References for Non-Factoid QA Evaluation via LLMs EMNLP 2024 LinkPrompt: Natural and Universal Adversarial Attacks on Prompt-based Language Models NAACL 2024 Link, Synthesize, Retrieve: Universal Document Linking for Zero-Shot Information Retrieval EMNLP 2024 LIONs: An Empirically Optimized Approach to Align Language Models EMNLP 2024 Lips Are Lying: Spotting the Temporal Inconsistency between Audio and Visual in Lip-Syncing DeepFakes NeurIPS 2024 LIRE: listwise reward enhancement for preference alignment ACL 2024 LISO: Lidar-only Self-Supervised 3D Object Detection ECCV 2024 Listenable Maps for Zero-Shot Audio Classifiers NeurIPS 2024 ListT5: Listwise Reranking with Fusion-in-Decoder Improves Zero-shot Retrieval ACL 2024 LitSearch: A Retrieval Benchmark for Scientific Literature Search EMNLP 2024 LI-TTA: Language Informed Test-Time Adaptation for Automatic Speech Recognition Interspeech 2024 Little Red Riding Hood Goes around the Globe: Crosslingual Story Planning and Generation with Large Language Models COLING 2024 Live and Learn: Continual Action Clustering with Incremental Views AAAI 2024