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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)

Flipping-based Policy for Chance-Constrained Markov Decision Processes NeurIPS 2024 FLIRT: Feedback Loop In-context Red Teaming EMNLP 2024 FLoRA: Federated Fine-Tuning Large Language Models with Heterogeneous Low-Rank Adaptations NeurIPS 2024 FLOR: On the Effectiveness of Language Adaptation COLING 2024 FlowBench: Revisiting and Benchmarking Workflow-Guided Planning for LLM-based Agents EMNLP 2024 FlowIE: Efficient Image Enhancement via Rectified Flow CVPR 2024 FlowLLM: Flow Matching for Material Generation with Large Language Models as Base Distributions NeurIPS 2024 Flow Scheduling with Imprecise Knowledge NSDI 2024 Flow Snapshot Neurons in Action: Deep Neural Networks Generalize to Biological Motion Perception NeurIPS 2024 F-MALLOC: Feed-forward Memory Allocation for Continual Learning in Neural Machine Translation NAACL 2024 F-OAL: Forward-only Online Analytic Learning with Fast Training and Low Memory Footprint in Class Incremental Learning NeurIPS 2024 Focused Large Language Models are Stable Many-Shot Learners EMNLP 2024 FOCUS: Forging Originality through Contrastive Use in Self-Plagiarism for Language Models ACL 2024 FocusMAE: Gallbladder Cancer Detection from Ultrasound Videos with Focused Masked Autoencoders CVPR 2024 Focus on Hiders: Exploring Hidden Threats for Enhancing Adversarial Training CVPR 2024 Focus On What Matters: Separated Models For Visual-Based RL Generalization NeurIPS 2024 FOFO: A Benchmark to Evaluate LLMs’ Format-Following Capability ACL 2024 Follow-the-Perturbed-Leader with Fréchet-type Tail Distributions: Optimality in Adversarial Bandits and Best-of-Both-Worlds COLT 2024 Follow-Up Differential Descriptions: Language Models Resolve Ambiguities for Image Classification ICLR 2024 Fooling Polarization-Based Vision using Locally Controllable Polarizing Projection CVPR 2024 Fooling the Textual Fooler via Randomizing Latent Representations ACL 2024 FOOL ME IF YOU CAN! An Adversarial Dataset to Investigate the Robustness of LMs in Word Sense Disambiguation EMNLP 2024 Fool Your (Vision and) Language Model with Embarrassingly Simple Permutations ICML 2024 Forced Exploration in Bandit Problems AAAI 2024 Forged-GAN-BERT: Authorship Attribution for LLM-Generated Forged Novels EACL 2024