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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)

CASE: Exploiting Intra-class Compactness and Inter-class Separability of Feature Embeddings for Out-of-Distribution Detection AAAI 2024 CA-SSLR: Condition-Aware Self-Supervised Learning Representation for Generalized Speech Processing NeurIPS 2024 Catalyst for Clustering-Based Unsupervised Object Re-identification: Feature Calibration AAAI 2024 Catastrophic Goodhart: regularizing RLHF with KL divergence does not mitigate heavy-tailed reward misspecification NeurIPS 2024 CAT-DM: Controllable Accelerated Virtual Try-on with Diffusion Model CVPR 2024 Categorial Grammar Induction with Stochastic Category Selection COLING 2024 Categorical Flow Matching on Statistical Manifolds NeurIPS 2024 Categorical Generative Model Evaluation via Synthetic Distribution Coarsening AISTATS 2024 Causal Adversarial Perturbations for Individual Fairness and Robustness in Heterogeneous Data Spaces AAAI 2024 Causal and Temporal Inference in Visual Question Generation by Utilizing Pre-trained Models ACL 2024 Causal Bandits with General Causal Models and Interventions AISTATS 2024 CausalBench: A Comprehensive Benchmark for Evaluating Causal Reasoning Capabilities of Large Language Models ACL 2024 CausalCite: A Causal Formulation of Paper Citations ACL 2024 Causal-CoG: A Causal-Effect Look at Context Generation for Boosting Multi-modal Language Models CVPR 2024 Causal Contrastive Learning for Counterfactual Regression Over Time NeurIPS 2024 CausalDiff: Causality-Inspired Disentanglement via Diffusion Model for Adversarial Defense NeurIPS 2024 Causal Discovery from Event Sequences by Local Cause-Effect Attribution NeurIPS 2024 Causal Discovery from Poisson Branching Structural Causal Model Using High-Order Cumulant with Path Analysis AAAI 2024 Causal Discovery Inspired Unsupervised Domain Adaptation for Emotion-Cause Pair Extraction EMNLP 2024 Causal discovery with endogenous context variables NeurIPS 2024 Causal-Driven Skill Prerequisite Structure Discovery AAAI 2024 Causal Effect Identification in a Sub-Population with Latent Variables NeurIPS 2024 Causal Estimation of Memorisation Profiles ACL 2024 Causal Feature Alignment: Learning To Ignore Spurious Background Features WACV 2024 Causal-Guided Active Learning for Debiasing Large Language Models ACL 2024