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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)

Causal Imitation for Markov Decision Processes: a Partial Identification Approach NeurIPS 2024 Causality-Inspired Invariant Representation Learning for Text-Based Person Retrieval AAAI 2024 Causality-Inspired Spatial-Temporal Explanations for Dynamic Graph Neural Networks ICLR 2024 Causally Abstracted Multi-armed Bandits UAI 2024 Causal Modeling with Stationary Diffusions AISTATS 2024 CausalPC: Improving the Robustness of Point Cloud Classification by Causal Effect Identification CVPR 2024 Causal Q-Aggregation for CATE Model Selection AISTATS 2024 Causal Representation Learning Made Identifiable by Grouping of Observational Variables ICML 2024 Causal Representation Learning via Counterfactual Intervention AAAI 2024 CausalStock: Deep End-to-end Causal Discovery for News-driven Multi-stock Movement Prediction NeurIPS 2024 Causal Temporal Representation Learning with Nonstationary Sparse Transition NeurIPS 2024 Causal vs. Anticausal merging of predictors NeurIPS 2024 CCEdit: Creative and Controllable Video Editing via Diffusion Models CVPR 2024 CCIIPLab at SIGHAN-2024 dimABSA Task: Contrastive Learning-Enhanced Span-based Framework for Chinese Dimensional Aspect-Based Sentiment Analysis ACL 2024 CCPrefix: Counterfactual Contrastive Prefix-Tuning for Many-Class Classification EACL 2024 CCTR: Calibrating Trajectory Prediction for Uncertainty-Aware Motion Planning in Autonomous Driving AAAI 2024 CDMAD: Class-Distribution-Mismatch-Aware Debiasing for Class-Imbalanced Semi-Supervised Learning CVPR 2024 CEAMC: Corpus and Empirical Study of Argument Analysis in Education via LLMs EMNLP 2024 CEAN: Contrastive Event Aggregation Network with LLM-based Augmentation for Event Extraction EACL 2024 CEC: A Noisy Label Detection Method for Speaker Recognition Interspeech 2024 CELLO: Causal Evaluation of Large Vision-Language Models EMNLP 2024 Cell ontology guided transcriptome foundation model NeurIPS 2024 CellPLM: Pre-training of Cell Language Model Beyond Single Cells ICLR 2024 CEN_Amrita@LT-EDI 2024: A Transformer based Speech Recognition System for Vulnerable Individuals in Tamil EACL 2024 CE-NAS: An End-to-End Carbon-Efficient Neural Architecture Search Framework NeurIPS 2024