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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)

Cited Text Spans for Scientific Citation Text Generation ACL 2024 Claim Check-Worthiness Detection: How Well do LLMs Grasp Annotation Guidelines? EMNLP 2024 CLAP4CLIP: Continual Learning with Probabilistic Finetuning for Vision-Language Models NeurIPS 2024 CLAP: Collaborative Adaptation for Patchwork Learning ICLR 2024 Clarifying the Behavior and the Difficulty of Adversarial Training AAAI 2024 ClashEval: Quantifying the tug-of-war between an LLM’s internal prior and external evidence NeurIPS 2024 CLASP: Cross-modal Alignment Using Pre-trained Unimodal Models ACL 2024 Class Balancing for Efficient Active Learning in Imbalanced Datasets EACL 2024 Class-consistent Contrastive Learning Driven Cross-dimensional Transformer for 3D Medical Image Classification IJCAI 2024 Class Distribution Shifts in Zero-Shot Learning: Learning Robust Representations NeurIPS 2024 Classification of Paleographic Artifacts at Scale: Mitigating Confounds and Distribution Shift in Cuneiform Tablet Dating ACL 2024 Classification with Conceptual Safeguards ICLR 2024 Classifier Calibration with ROC-Regularized Isotonic Regression AISTATS 2024 Classifier Clustering and Feature Alignment for Federated Learning under Distributed Concept Drift NeurIPS 2024 Classifier identification in Ancient Egyptian as a low-resource sequence-labelling task ACL 2024 Class-Incremental Few-Shot Event Detection COLING 2024 Class Incremental Learning via Likelihood Ratio Based Task Prediction ICLR 2024 Class Incremental Learning with Multi-Teacher Distillation CVPR 2024 Class-Specific Semantic Generation and Reconstruction Learning for Open Set Recognition IJCAI 2024 Class Tokens Infusion for Weakly Supervised Semantic Segmentation CVPR 2024 ClavaDDPM: Multi-relational Data Synthesis with Cluster-guided Diffusion Models NeurIPS 2024 CLAVE: An Adaptive Framework for Evaluating Values of LLM Generated Responses NeurIPS 2024 CleanDiffuser: An Easy-to-use Modularized Library for Diffusion Models in Decision Making NeurIPS 2024 CleanGen: Mitigating Backdoor Attacks for Generation Tasks in Large Language Models EMNLP 2024 Clear Up Confusion: Advancing Cross-Domain Few-Shot Relation Extraction through Relation-Aware Prompt Learning NAACL 2024