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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)

ESCP: Enhancing Emotion Recognition in Conversation with Speech and Contextual Prefixes COLING 2024 ESG-FTSE: A Corpus of News Articles with ESG Relevance Labels and Use Cases COLING 2024 ESG-GPT:GPT4-Based Few-Shot Prompt Learning for Multi-lingual ESG News Text Classification COLING 2024 ESPnet-SPK: full pipeline speaker embedding toolkit with reproducible recipes, self-supervised front-ends, and off-the-shelf models Interspeech 2024 Establishing degrees of closeness between audio recordings along different dimensions using large-scale cross-lingual models EACL 2024 Estimating Agreement by Chance for Sequence Annotation ACL 2024 Estimating before Debiasing: A Bayesian Approach to Detaching Prior Bias in Federated Semi-Supervised Learning IJCAI 2024 Estimating Bounds on Causal Effects Considering Unmeasured Common Causes PGM 2024 Estimating Conditional Average Treatment Effects via Sufficient Representation Learning IJCAI 2024 Estimating Generalization Performance Along the Trajectory of Proximal SGD in Robust Regression NeurIPS 2024 Estimating Lexical Complexity from Document-Level Distributions COLING 2024 Estimating Noisy Class Posterior with Part-level Labels for Noisy Label Learning CVPR 2024 Estimating the Hallucination Rate of Generative AI NeurIPS 2024 Estimating treatment effects from single-arm trials via latent-variable modeling AISTATS 2024 eTag: Class-Incremental Learning via Embedding Distillation and Task-Oriented Generation AAAI 2024 Eulerian at BioLaySumm: Preprocessing Over Abstract is All You Need ACL 2024 EURECOM at SemEval-2024 Task 4: Hierarchical Loss and Model Ensembling in Detecting Persuasion Techniques SemEval 2024 Evaluating alignment between humans and neural network representations in image-based learning tasks NeurIPS 2024 Evaluating Automatic Metrics with Incremental Machine Translation Systems EMNLP 2024 Evaluating Concurrent Robustness of Language Models Across Diverse Challenge Sets EMNLP 2024 Evaluating Extrapolation Ability of Large Language Model in Chemical Domain ACL 2024 Evaluating In-Context Learning for Computational Literary Studies: A Case Study Based on the Automatic Recognition of Knowledge Transfer in German Drama EACL 2024 Evaluating Large Language Model Biases in Persona-Steered Generation ACL 2024 Evaluating Large Language Models via Linguistic Profiling EMNLP 2024 Evaluating LLMs for Targeted Concept Simplification for Domain-Specific Texts EMNLP 2024