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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)

Explore Spurious Correlations at the Concept Level in Language Models for Text Classification ACL 2024 Exploring Adversarial Robustness of Deep State Space Models NeurIPS 2024 Exploring Aspect-Based Sentiment Analysis Methodologies for Literary-Historical Research Purposes COLING 2024 Exploring Base-Class Suppression with Prior Guidance for Bias-Free One-Shot Object Detection AAAI 2024 Exploring Beyond Curiosity Rewards: Language-Driven Exploration in RL ACML 2024 Exploring Causal Mechanisms for Machine Text Detection Methods NAACL 2024 Exploring Chain-of-Thought for Multi-modal Metaphor Detection ACL 2024 Exploring Compositional Generalization of Large Language Models NAACL 2024 Exploring Correlations of Self-Supervised Tasks for Graphs ICML 2024 Exploring Cross-Domain Few-Shot Classification via Frequency-Aware Prompting IJCAI 2024 Exploring Curriculum Learning for Vision-Language Tasks: A Study on Small-Scale Multimodal Training CoNLL 2024 Exploring Diffusion Time-steps for Unsupervised Representation Learning ICLR 2024 Exploring Diverse Representations for Open Set Recognition AAAI 2024 Exploring Domain Incremental Video Highlights Detection with the LiveFood Benchmark AAAI 2024 Exploring Domain Robust Lightweight Reward Models based on Router Mechanism ACL 2024 Exploring Efficient Asymmetric Blind-Spots for Self-Supervised Denoising in Real-World Scenarios CVPR 2024 Exploring Gradient Explosion in Generative Adversarial Imitation Learning: A Probabilistic Perspective AAAI 2024 Exploring hybrid approaches to readability: experiments on the complementarity between linguistic features and transformers EACL 2024 Exploring In-Context Learning of Textless Speech Language Model for Speech Classification Tasks Interspeech 2024 Exploring Instructive Prompts for Large Language Models in the Extraction of Evidence for Supporting Assigned Suicidal Risk Levels EACL 2024 Exploring Language Representation through a Resource Inventory Project ACL 2024 Exploring Learngene via Stage-wise Weight Sharing for Initializing Variable-sized Models IJCAI 2024 Exploring Memorization in Fine-tuned Language Models ACL 2024 Exploring Nested Named Entity Recognition with Large Language Models: Methods, Challenges, and Insights EMNLP 2024 Exploring Neural Topic Modeling on a Classical Latin Corpus COLING 2024