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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)

Don’t Hallucinate, Abstain: Identifying LLM Knowledge Gaps via Multi-LLM Collaboration ACL 2024 Don't Judge by the Look: Towards Motion Coherent Video Representation ICLR 2024 dopanim: A Dataset of Doppelganger Animals with Noisy Annotations from Multiple Humans NeurIPS 2024 Do Prompt Positions Really Matter? NAACL 2024 DORY: Deliberative Prompt Recovery for LLM ACL 2024 Do's and Don'ts: Learning Desirable Skills with Instruction Videos NeurIPS 2024 DOS: Diverse Outlier Sampling for Out-of-Distribution Detection ICLR 2024 Do *they* mean ‘us’? Interpreting Referring Expression variation under Intergroup Bias EMNLP 2024 Double-Checker: Large Language Model as a Checker for Few-shot Named Entity Recognition EMNLP 2024 Double InfoGAN for Contrastive Analysis AISTATS 2024 Double-Layer Hybrid-Label Identification Feature Selection for Multi-View Multi-Label Learning AAAI 2024 Doubly Abductive Counterfactual Inference for Text-based Image Editing CVPR 2024 Doubly Mild Generalization for Offline Reinforcement Learning NeurIPS 2024 Doubly Perturbed Task Free Continual Learning AAAI 2024 Doubly Robust Instance-Reweighted Adversarial Training ICLR 2024 Do Vision and Language Encoders Represent the World Similarly? CVPR 2024 Do Vision-Language Models Understand Compound Nouns? NAACL 2024 Do We Need Language-Specific Fact-Checking Models? The Case of Chinese EMNLP 2024 Do You Know What You Are Talking About? Characterizing Query-Knowledge Relevance For Reliable Retrieval Augmented Generation EMNLP 2024 Do You Remember? Dense Video Captioning with Cross-Modal Memory Retrieval CVPR 2024 DPA-P2PNet: Deformable Proposal-Aware P2PNet for Accurate Point-Based Cell Detection AAAI 2024 DP-CRE: Continual Relation Extraction via Decoupled Contrastive Learning and Memory Structure Preservation COLING 2024 DPPMask: Masked Image Modeling With Determinantal Point Processes WACV 2024 DQ-LoRe: Dual Queries with Low Rank Approximation Re-ranking for In-Context Learning ICLR 2024 DR10K: Transfer Learning Using Weak Labels for Grading Diabetic Retinopathy on DR10K Dataset WACV 2024