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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)

Understanding and Mitigating the Label Noise in Pre-training on Downstream Tasks ICLR 2024 Understanding Augmentation-based Self-Supervised Representation Learning via RKHS Approximation and Regression ICLR 2024 Understanding Catastrophic Forgetting in Language Models via Implicit Inference ICLR 2024 Understanding Dark Scenes by Contrasting Multi-Modal Observations WACV 2024 Understanding Distributed Representations of Concepts in Deep Neural Networks without Supervision AAAI 2024 Understanding Generalization of Federated Learning via Stability: Heterogeneity Matters AISTATS 2024 Understanding Inverse Scaling and Emergence in Multitask Representation Learning AISTATS 2024 Understanding Likelihood of Normalizing Flow and Image Complexity through the Lens of Out-of-Distribution Detection AAAI 2024 Understanding Model Selection for Learning in Strategic Environments NeurIPS 2024 Understanding Pathologies of Deep Heteroskedastic Regression UAI 2024 Understanding Players as if They Are Talking to the Game in a Customized Language: A Pilot Study EMNLP 2024 Understanding prompt engineering may not require rethinking generalization ICLR 2024 Understanding Survey Paper Taxonomy about Large Language Models via Graph Representation Learning ACL 2024 Understanding the effects of language-specific class imbalance in multilingual fine-tuning EACL 2024 Understanding the Effects of Noise in Text-to-SQL: An Examination of the BIRD-Bench Benchmark ACL 2024 Understanding the Effects of RLHF on LLM Generalisation and Diversity ICLR 2024 Understanding the Robustness of Multi-modal Contrastive Learning to Distribution Shift ICLR 2024 Understanding the Robustness of Randomized Feature Defense Against Query-Based Adversarial Attacks ICLR 2024 Understanding the Role of Equivariance in Self-supervised Learning NeurIPS 2024 Understanding Transferable Representation Learning and Zero-shot Transfer in CLIP ICLR 2024 Underwater Organism Color Fine-Tuning via Decomposition and Guidance AAAI 2024 Unexpected Phenomenon: LLMs’ Spurious Associations in Information Extraction ACL 2024 UNEX-RL: Reinforcing Long-Term Rewards in Multi-Stage Recommender Systems with UNidirectional EXecution AAAI 2024 Ungeneralizable Examples CVPR 2024 UniADS: Universal Architecture-Distiller Search for Distillation Gap AAAI 2024