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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)

FinanceMATH: Knowledge-Intensive Math Reasoning in Finance Domains ACL 2024 Financial Forecasting from Textual and Tabular Time Series EMNLP 2024 Financial Product Ontology Population with Large Language Models ACL 2024 Finding a Needle in the Adversarial Haystack: A Targeted Paraphrasing Approach For Uncovering Edge Cases with Minimal Distribution Distortion EACL 2024 Finding Increasingly Large Extremal Graphs with AlphaZero and Tabu Search IJCAI 2024 Finding Interpretable Class-Specific Patterns through Efficient Neural Search AAAI 2024 Finding Lottery Tickets in Vision Models via Data-driven Spectral Foresight Pruning CVPR 2024 Finding NeMo: Localizing Neurons Responsible For Memorization in Diffusion Models NeurIPS 2024 Findings of the SIGTYP 2024 Shared Task on Word Embedding Evaluation for Ancient and Historical Languages EACL 2024 Findings of WMT 2024 Shared Task on Low-Resource Indic Languages Translation EMNLP 2024 Findings of WMT 2024’s MultiIndic22MT Shared Task for Machine Translation of 22 Indian Languages EMNLP 2024 Finding the Optimal Byte-Pair Encoding Merge Operations for Neural Machine Translation in a Low-Resource Setting EMNLP 2024 FineCLIP: Self-distilled Region-based CLIP for Better Fine-grained Understanding NeurIPS 2024 FineFMPL: Fine-grained Feature Mining Prompt Learning for Few-Shot Class Incremental Learning IJCAI 2024 Fine-Grained Bipartite Concept Factorization for Clustering CVPR 2024 Fine-grained Classes and How to Find Them ICML 2024 Fine-grained Control of Generative Data Augmentation in IoT Sensing NeurIPS 2024 Fine-Grained Detection of Solidarity for Women and Migrants in 155 Years of German Parliamentary Debates EMNLP 2024 Fine-grained Image-to-LiDAR Contrastive Distillation with Visual Foundation Models NeurIPS 2024 Fine-Grained Knowledge Selection and Restoration for Non-exemplar Class Incremental Learning AAAI 2024 Fine-Grained Modeling of Narrative Context: A Coherence Perspective via Retrospective Questions ACL 2024 Fine-grained Pluggable Gradient Ascent for Knowledge Unlearning in Language Models EMNLP 2024 Fine-Grained Prediction of Reading Comprehension from Eye Movements EMNLP 2024 Fine-Grained Prototypes Distillation for Few-Shot Object Detection AAAI 2024 Fine-grained Prototypical Voting with Heterogeneous Mixup for Semi-supervised 2D-3D Cross-modal Retrieval CVPR 2024