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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)

Amodal Intra-Class Instance Segmentation: Synthetic Datasets and Benchmark WACV 2024 Amortized Active Causal Induction with Deep Reinforcement Learning NeurIPS 2024 Amortizing intractable inference in diffusion models for vision, language, and control NeurIPS 2024 AMPO: Automatic Multi-Branched Prompt Optimization EMNLP 2024 A multi-level multi-label text classification dataset of 19th century Ottoman and Russian literary and critical texts ACL 2024 A Multimodal Benchmark and Improved Architecture for Zero Shot Learning WACV 2024 A Multi-Modal Contrastive Diffusion Model for Therapeutic Peptide Generation AAAI 2024 A Multi-Task Embedder For Retrieval Augmented LLMs ACL 2024 A Multitask Training Approach to Enhance Whisper with Open-Vocabulary Keyword Spotting Interspeech 2024 A Mutual Information Perspective on Federated Contrastive Learning ICLR 2024 An Adaptive Implicit Hitting Set Algorithm for MAP and MPE Inference PGM 2024 An Aggregation-Free Federated Learning for Tackling Data Heterogeneity CVPR 2024 ANAH: Analytical Annotation of Hallucinations in Large Language Models ACL 2024 ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Models NeurIPS 2024 Analysing zero-shot temporal relation extraction on clinical notes using temporal consistency ACL 2024 Analysis of Multi-Source Language Training in Cross-Lingual Transfer ACL 2024 Analysis of Transformers for Medical Image Retrieval MIDL 2024 Analysis of Using Sigmoid Loss for Contrastive Learning AISTATS 2024 Analysis on Unsupervised Acquisition Process of Bilingual Vocabulary through Iterative Back-Translation COLING 2024 Analytically Tractable Models for Decision Making under Present Bias AAAI 2024 Analyze, Generate and Refine: Query Expansion with LLMs for Zero-Shot Open-Domain QA ACL 2024 Analyzing Explainer Robustness via Probabilistic Lipschitzness of Prediction Functions AISTATS 2024 Analyzing Key Factors Influencing Emotion Prediction Performance of VLLMs in Conversational Contexts EMNLP 2024 Analyzing LLM Behavior in Dialogue Summarization: Unveiling Circumstantial Hallucination Trends ACL 2024 Analyzing & Reducing the Need for Learning Rate Warmup in GPT Training NeurIPS 2024