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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)

Exploring the Numerical Reasoning Capabilities of Language Models: A Comprehensive Analysis on Tabular Data EMNLP 2023 Exploring the Optimal Choice for Generative Processes in Diffusion Models: Ordinary vs Stochastic Differential Equations NeurIPS 2023 Exploring the Reasons for Non-generalizability of KBQA systems EACL 2023 Exploring the Relationship Between Architectural Design and Adversarially Robust Generalization CVPR 2023 Exploring The Role of Mean Teachers in Self-supervised Masked Auto-Encoders ICLR 2023 Exploring the Sensitivity of LLMs’ Decision-Making Capabilities: Insights from Prompt Variations and Hyperparameters EMNLP 2023 Exploring Transformers for Open-world Instance Segmentation ICCV 2023 Exploring Tuning Characteristics of Ventral Stream’s Neurons for Few-Shot Image Classification AAAI 2023 Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives ICCV 2023 ExpNote: Black-box Large Language Models are better Task Solvers with Experience Notebook EMNLP 2023 Exponential Hardness of Reinforcement Learning with Linear Function Approximation COLT 2023 Exposing Attention Glitches with Flip-Flop Language Modeling NeurIPS 2023 Exposing the Self-Supervised Space-Time Correspondence Learning via Graph Kernels AAAI 2023 Expository Text Generation: Imitate, Retrieve, Paraphrase EMNLP 2023 Expresso: A Benchmark and Analysis of Discrete Expressive Speech Resynthesis Interspeech 2023 Extending Adversarial Attacks to Produce Adversarial Class Probability Distributions JMLR 2023 Extending an Event-type Ontology: Adding Verbs and Classes Using Fine-tuned LLMs Suggestions ACL 2023 Extending Conformal Prediction to Hidden Markov Models with Exact Validity via de Finetti’s Theorem for Markov Chains ICML 2023 Extensible Prompts for Language Models on Zero-shot Language Style Customization NeurIPS 2023 Extracting Class Activation Maps From Non-Discriminative Features As Well CVPR 2023 Extracting Reward Functions from Diffusion Models NeurIPS 2023 Extracting Robust Models with Uncertain Examples ICLR 2023 Extracting Shopping Interest-Related Product Types from the Web ACL 2023 Extracting Text Representations for Terms and Phrases in Technical Domains ACL 2023 Extractive is not Faithful: An Investigation of Broad Unfaithfulness Problems in Extractive Summarization ACL 2023