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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)

AltCLIP: Altering the Language Encoder in CLIP for Extended Language Capabilities ACL 2023 Alternately Optimized Graph Neural Networks ICML 2023 AltFreezing for More General Video Face Forgery Detection CVPR 2023 Always the Best Fit: Adaptive Domain Gap Filling from Causal Perspective for Few-Shot Relation Extraction EMNLP 2023 ALWOD: Active Learning for Weakly-Supervised Object Detection ICCV 2023 AmadeusGPT: a natural language interface for interactive animal behavioral analysis NeurIPS 2023 A Match Made in Heaven: A Multi-task Framework for Hyperbole and Metaphor Detection ACL 2023 Ambiguity Meets Uncertainty: Investigating Uncertainty Estimation for Word Sense Disambiguation ACL 2023 Ambiguity-Resistant Semi-Supervised Learning for Dense Object Detection CVPR 2023 Ambiguous Learning from Retrieval: Towards Zero-shot Semantic Parsing ACL 2023 A Measure-Theoretic Axiomatisation of Causality NeurIPS 2023 A Memory Model for Question Answering from Streaming Data Supported by Rehearsal and Anticipation of Coreference Information ACL 2023 A Message Passing Perspective on Learning Dynamics of Contrastive Learning ICLR 2023 A Minimalist Dataset for Systematic Generalization of Perception, Syntax, and Semantics ICLR 2023 AmnioML: Amniotic Fluid Segmentation and Volume Prediction with Uncertainty Quantification AAAI 2023 A Model-Agnostic Heuristics for Selective Classification AAAI 2023 A Model-free Closeness-of-influence Test for Features in Supervised Learning ICML 2023 A Model or 603 Exemplars: Towards Memory-Efficient Class-Incremental Learning ICLR 2023 AMOM: Adaptive Masking over Masking for Conditional Masked Language Model AAAI 2023 Amortised Invariance Learning for Contrastive Self-Supervision ICLR 2023 A Multilingual Evaluation of NER Robustness to Adversarial Inputs ACL 2023 A Multi-modal Debiasing Model with Dynamical Constraint for Robust Visual Question Answering ACL 2023 A Multimodal Investigation of Speech, Text, Cognitive and Facial Video Features for Characterizing Depression With and Without Medication Interspeech 2023 A Multi-Modal Multilingual Benchmark for Document Image Classification EMNLP 2023 A multimodal prototypical approach for unsupervised sound classification Interspeech 2023