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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)

A Gradient Control Method for Backdoor Attacks on Parameter-Efficient Tuning ACL 2023 A Graph Fusion Approach for Cross-Lingual Machine Reading Comprehension AAAI 2023 A Graph-Theoretic Framework for Understanding Open-World Semi-Supervised Learning NeurIPS 2023 Agree to Disagree: Diversity through Disagreement for Better Transferability ICLR 2023 AGRO: Adversarial discovery of error-prone Groups for Robust Optimization ICLR 2023 A Hierarchical Context-aware Modeling Approach for Multi-aspect and Multi-granular Pronunciation Assessment Interspeech 2023 A Hierarchical Encoding-Decoding Scheme for Abstractive Multi-document Summarization EMNLP 2023 A High-Resolution Dataset for Instance Detection with Multi-View Object Capture NeurIPS 2023 A Holistic Approach to Reference-Free Evaluation of Machine Translation ACL 2023 A Holistic Approach to Undesired Content Detection in the Real World AAAI 2023 A Human-in-the-Loop Tool for Annotating Passive Acoustic Monitoring Datasets IJCAI 2023 A Hybrid of Rule-based and Transformer-based Approaches for Relation Extraction in Biodiversity Literature EMNLP 2023 A Hyperparameter Optimization Toolkit for Neural Machine Translation Research ACL 2023 AI for Interpretable Chemistry: Predicting Radical Mechanistic Pathways via Contrastive Learning NeurIPS 2023 AIO-P: Expanding Neural Performance Predictors beyond Image Classification AAAI 2023 AirFormer: Predicting Nationwide Air Quality in China with Transformers AAAI 2023 AIRIVA: A Deep Generative Model of Adaptive Immune Repertoires MLHC 2023 A Joint Model for Pronunciation Assessment and Mispronunciation Detection and Diagnosis with Multi-task Learning Interspeech 2023 A Kernel-Based View of Language Model Fine-Tuning ICML 2023 A-La-Carte Prompt Tuning (APT): Combining Distinct Data via Composable Prompting CVPR 2023 ALAMBIC : Active Learning Automation Methods to Battle Inefficient Curation EACL 2023 A Language-First Approach for Procedure Planning ACL 2023 A Language Model with Limited Memory Capacity Captures Interference in Human Sentence Processing EMNLP 2023 ALANNO: An Active Learning Annotation System for Mortals EACL 2023 A Large-Scale Robustness Analysis of Video Action Recognition Models CVPR 2023