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Learning Types

56,254 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 (1,984) 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)

Improving Chinese Pop Song and Hokkien Gezi Opera Singing Voice Synthesis by Enhancing Local Modeling EMNLP 2023 Improving Classifier Robustness through Active Generative Counterfactual Data Augmentation EMNLP 2023 Improving Classroom Dialogue Act Recognition from Limited Labeled Data with Self-Supervised Contrastive Learning Classifiers ACL 2023 Improving CLIP Fine-tuning Performance ICCV 2023 Improving CLIP Training with Language Rewrites NeurIPS 2023 Improving Consistency for Text Summarization with Energy Functions EMNLP 2023 Improving Contextual Query Rewrite for Conversational AI Agents through User-preference Feedback Learning EMNLP 2023 Improving Continual Relation Extraction by Distinguishing Analogous Semantics ACL 2023 Improving Contrastive Learning of Sentence Embeddings from AI Feedback ACL 2023 Improving Contrastive Learning of Sentence Embeddings with Focal InfoNCE EMNLP 2023 Improving Cross-lingual Transfer through Subtree-aware Word Reordering EMNLP 2023 Improving Cross-modal Alignment for Text-Guided Image Inpainting EACL 2023 Improving Dialogue Discourse Parsing via Reply-to Structures of Addressee Recognition EMNLP 2023 Improving Distantly Supervised Relation Extraction by Natural Language Inference AAAI 2023 Improving Diversity in Zero-Shot GAN Adaptation with Semantic Variations ICCV 2023 Improving Diversity With Adversarially Learned Transformations for Domain Generalization WACV 2023 Improving Domain Generalization for Prompt-Aware Essay Scoring via Disentangled Representation Learning ACL 2023 Improving Embedding-based Unsupervised Keyphrase Extraction by Incorporating Structural Information ACL 2023 Improving End-to-End Speech Translation by Imitation-Based Knowledge Distillation with Synthetic Transcripts ACL 2023 Improving Expert Predictions with Conformal Prediction ICML 2023 Improving Factual Consistency for Knowledge-Grounded Dialogue Systems via Knowledge Enhancement and Alignment EMNLP 2023 Improving Factuality of Abstractive Summarization via Contrastive Reward Learning ACL 2023 Improving Factuality of Abstractive Summarization without Sacrificing Summary Quality ACL 2023 Improving Fairness in Facial Albedo Estimation via Visual-Textual Cues CVPR 2023 Improving Few-Shot Generalization by Exploring and Exploiting Auxiliary Data NeurIPS 2023