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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)

Towards Backward-Compatible Continual Learning of Image Compression CVPR 2024 Towards Better Inclusivity: A Diverse Tweet Corpus of English Varieties EACL 2024 Towards Better Understanding of Contrastive Sentence Representation Learning: A Unified Paradigm for Gradient ACL 2024 Towards Better Vision-Inspired Vision-Language Models CVPR 2024 Towards Bounding Causal Effects under Markov Equivalence UAI 2024 Towards Building a Language-Independent Speech Scoring Assessment AAAI 2024 Towards Calibrated Losses for Adversarial Robust Reject Option Classification ACML 2024 Towards Causal Foundation Model: on Duality between Optimal Balancing and Attention ICML 2024 Towards Characterizing Domain Counterfactuals for Invertible Latent Causal Models ICLR 2024 Towards Classifying Mother Tongue from Infant Cries - Findings Substantiating Prenatal Learning Theory Interspeech 2024 Towards Content Accessibility Through Lexical Simplification for Maltese as a Low-Resource Language EACL 2024 Towards Context-Based Violence Detection: A Korean Crime Dialogue Dataset EACL 2024 Towards Continual Knowledge Graph Embedding via Incremental Distillation AAAI 2024 Towards Continual Learning Desiderata via HSIC-Bottleneck Orthogonalization and Equiangular Embedding AAAI 2024 Towards Convergence Rates for Parameter Estimation in Gaussian-gated Mixture of Experts AISTATS 2024 Towards Costless Model Selection in Contextual Bandits: A Bias-Variance Perspective AISTATS 2024 Towards Cross-Cultural Machine Translation with Retrieval-Augmented Generation from Multilingual Knowledge Graphs EMNLP 2024 Towards Data-Efficient Language Models: A Child-Inspired Approach to Language Learning CoNLL 2024 Towards Demonstration-Aware Large Language Models for Machine Translation ACL 2024 Towards Difficulty-Agnostic Efficient Transfer Learning for Vision-Language Models EMNLP 2024 Towards Disfluency Annotated Corpora for Indian Languages COLING 2024 Towards Diverse Perspective Learning with Selection over Multiple Temporal Poolings AAAI 2024 Towards Dog Bark Decoding: Leveraging Human Speech Processing for Automated Bark Classification COLING 2024 Towards Domain-Aware Knowledge Distillation for Continual Model Generalization WACV 2024 Towards domain-invariant Self-Supervised Learning with Batch Styles Standardization ICLR 2024