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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)

IDEAL: Influence-Driven Selective Annotations Empower In-Context Learners in Large Language Models ICLR 2024 Identifiability Analysis of Linear ODE Systems with Hidden Confounders NeurIPS 2024 Identification and Estimation of the Bi-Directional MR with Some Invalid Instruments NeurIPS 2024 Identification of Causal Structure in the Presence of Missing Data with Additive Noise Model AAAI 2024 Identification of Causal Structure with Latent Variables Based on Higher Order Cumulants AAAI 2024 Identifying and Mitigating Annotation Bias in Natural Language Understanding using Causal Mediation Analysis ACL 2024 Identifying Causal Changes Between Linear Structural Equation Models UAI 2024 Identifying Causal Effects Under Functional Dependencies NeurIPS 2024 Identifying Copeland Winners in Dueling Bandits with Indifferences AISTATS 2024 Identifying General Mechanism Shifts in Linear Causal Representations NeurIPS 2024 Identifying Homogeneous and Interpretable Groups for Conformal Prediction UAI 2024 Identifying Narrative Patterns and Outliers in Holocaust Testimonies Using Topic Modeling COLING 2024 Identifying Selections for Unsupervised Subtask Discovery NeurIPS 2024 Identifying Semantic Induction Heads to Understand In-Context Learning ACL 2024 Identifying Spatio-Temporal Drivers of Extreme Events NeurIPS 2024 Identify Then Recommend: Towards Unsupervised Group Recommendation NeurIPS 2024 IDGen: Item Discrimination Induced Prompt Generation for LLM Evaluation NeurIPS 2024 ID-like Prompt Learning for Few-Shot Out-of-Distribution Detection CVPR 2024 IFCap: Image-like Retrieval and Frequency-based Entity Filtering for Zero-shot Captioning EMNLP 2024 If You Want to Be Robust, Be Wary of Initialization NeurIPS 2024 ignore at SemEval-2024 Task 5: A Legal Classification Model with Summary Generation and Contrastive Learning SemEval 2024 Ignore Me But Don’t Replace Me: Utilizing Non-Linguistic Elements for Pretraining on the Cybersecurity Domain NAACL 2024 iGraphMix: Input Graph Mixup Method for Node Classification ICLR 2024 IHCScoreGAN: An unsupervised generative adversarial network for end-to-end ki67 scoring for clinical breast cancer diagnosis MIDL 2024 II-Bench: An Image Implication Understanding Benchmark for Multimodal Large Language Models NeurIPS 2024