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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)

Improving Multilingual Text-to-Speech with Mixture-of-Language-Experts and Accent Disentanglement Interspeech 2024 Improving Multimodal Classification of Social Media Posts by Leveraging Image-Text Auxiliary Tasks EACL 2024 Improving Multi-view Document Clustering: Leveraging Multi-structure Processor and Hybrid Ensemble Clustering Module COLING 2024 Improving Neural Network Generalization on Data-Limited Regression with Doubly-Robust Boosting AAAI 2024 Improving Neural ODE Training with Temporal Adaptive Batch Normalization NeurIPS 2024 Improving Noise Robustness in Self-supervised Pre-trained Model for Speaker Verification Interspeech 2024 Improving Noisy Student Training for Low-resource Languages in End-to-End ASR Using CycleGAN and Inter-domain Losses COLING 2024 Improving Offline RL by Blending Heuristics ICLR 2024 Improving Open Set Recognition via Visual Prompts Distilled from Common-Sense Knowledge AAAI 2024 Improving Open-Set Semi-Supervised Learning With Self-Supervision WACV 2024 Improving Paratope and Epitope Prediction by Multi-Modal Contrastive Learning and Interaction Informativeness Estimation IJCAI 2024 Improving Personalized Sentiment Representation with Knowledge-enhanced and Parameter-efficient Layer Normalization COLING 2024 Improving Plasticity in Online Continual Learning via Collaborative Learning CVPR 2024 Improving Pseudo Labels with Global-Local Denoising Framework for Cross-lingual Named Entity Recognition IJCAI 2024 Improving PTM Site Prediction by Coupling of Multi-Granularity Structure and Multi-Scale Sequence Representation AAAI 2024 Improving Recall of Large Language Models: A Model Collaboration Approach for Relational Triple Extraction COLING 2024 Improving Retrieval Augmented Open-Domain Question-Answering with Vectorized Contexts ACL 2024 Improving Retrieval in Sponsored Search by Leveraging Query Context Signals EMNLP 2024 Improving Robustness of 3D Point Cloud Recognition from a Fourier Perspective NeurIPS 2024 Improving Robustness of GNN-based Anomaly Detection by Graph Adversarial Training COLING 2024 Improving Role-Oriented Dialogue Summarization with Interaction-Aware Contrastive Learning COLING 2024 Improving Self-supervised Pre-training using Accent-Specific Codebooks Interspeech 2024 Improving self-training under distribution shifts via anchored confidence with theoretical guarantees NeurIPS 2024 Improving Self-training with Prototypical Learning for Source-Free Domain Adaptation on Clinical Text ACL 2024 Improving Semantic Correspondence with Viewpoint-Guided Spherical Maps CVPR 2024