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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)

BiasWipe: Mitigating Unintended Bias in Text Classifiers through Model Interpretability EMNLP 2024 BiCAL: Bi-directional Contrastive Active Learning for Clinical Report Generation ACL 2024 Bidirectional Contrastive Split Learning for Visual Question Answering AAAI 2024 Bidirectional Generative Pre-training for Improving Healthcare Time-series Representation Learning MLHC 2024 Bidirectional Reciprocative Information Communication for Few-Shot Semantic Segmentation ICML 2024 Bi-level Learning of Task-Specific Decoders for Joint Registration and One-Shot Medical Image Segmentation CVPR 2024 Bilingual Rhetorical Structure Parsing with Large Parallel Annotations ACL 2024 Binary Search with Distributional Predictions NeurIPS 2024 Binding-Adaptive Diffusion Models for Structure-Based Drug Design AAAI 2024 Binning as a Pretext Task: Improving Self-Supervised Learning in Tabular Domains ICML 2024 Bio-inspired Dynamic and Decentralized Online Learning in Uninformed Heterogeneous Multi-Agent Environments IJCAI 2024 Biologically Inspired Learning Model for Instructed Vision NeurIPS 2024 Bio-RFX: Refining Biomedical Extraction via Advanced Relation Classification and Structural Constraints EMNLP 2024 BIOSCAN-5M: A Multimodal Dataset for Insect Biodiversity NeurIPS 2024 BioT5+: Towards Generalized Biological Understanding with IUPAC Integration and Multi-task Tuning ACL 2024 BIPEFT: Budget-Guided Iterative Search for Parameter Efficient Fine-Tuning of Large Pretrained Language Models EMNLP 2024 BirdSAT: Cross-View Contrastive Masked Autoencoders for Bird Species Classification and Mapping WACV 2024 bit2bit: 1-bit quanta video reconstruction via self-supervised photon prediction NeurIPS 2024 Bits and Pieces: Investigating the Effects of Subwords in Multi-task Parsing across Languages and Domains COLING 2024 BiVLC: Extending Vision-Language Compositionality Evaluation with Text-to-Image Retrieval NeurIPS 2024 Black-Box Forgetting NeurIPS 2024 Black-Box k-to-1-PCA Reductions: Theory and Applications COLT 2024 Black-Box Prompt Optimization: Aligning Large Language Models without Model Training ACL 2024 BLEnD: A Benchmark for LLMs on Everyday Knowledge in Diverse Cultures and Languages NeurIPS 2024 BlendFilter: Advancing Retrieval-Augmented Large Language Models via Query Generation Blending and Knowledge Filtering EMNLP 2024