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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)

Frugal LMs Trained to Invoke Symbolic Solvers Achieve Parameter-Efficient Arithmetic Reasoning AAAI 2024 Frustratingly Easy Test-Time Adaptation of Vision-Language Models NeurIPS 2024 FSRT: Facial Scene Representation Transformer for Face Reenactment from Factorized Appearance Head-pose and Facial Expression Features CVPR 2024 FT-GAN: Fine-Grained Tune Modeling for Chinese Opera Synthesis AAAI 2024 FUG: Feature-Universal Graph Contrastive Pre-training for Graphs with Diverse Node Features NeurIPS 2024 Full-Atom Peptide Design with Geometric Latent Diffusion NeurIPS 2024 Full Bayesian Significance Testing for Neural Networks AAAI 2024 Full Bayesian Significance Testing for Neural Networks in Traffic Forecasting IJCAI 2024 Full-Distance Evasion of Pedestrian Detectors in the Physical World NeurIPS 2024 Full Parameter Fine-tuning for Large Language Models with Limited Resources ACL 2024 Fully Data-Driven Pseudo Label Estimation for Pointly-Supervised Panoptic Segmentation AAAI 2024 Fully Exploiting Every Real Sample: SuperPixel Sample Gradient Model Stealing CVPR 2024 Fully Few-shot Class-incremental Audio Classification Using Expandable Dual-embedding Extractor Interspeech 2024 Fumbling in Babel: An Investigation into ChatGPT’s Language Identification Ability NAACL 2024 Functional Flow Matching AISTATS 2024 Functional Graph Convolutional Networks: A Unified Multi-task and Multi-modal Learning Framework to Facilitate Health and Social-Care Insights IJCAI 2024 Functional Graphical Models: Structure Enables Offline Data-Driven Optimization AISTATS 2024 Functionality learning through specification instructions EMNLP 2024 Function-space Parameterization of Neural Networks for Sequential Learning ICLR 2024 Fundamental Capabilities of Large Language Models and their Applications in Domain Scenarios: A Survey ACL 2024 FuseAnyPart: Diffusion-Driven Facial Parts Swapping via Multiple Reference Images NeurIPS 2024 FUSE: Fast Unified Simulation and Estimation for PDEs NeurIPS 2024 FUSE - FrUstration and Surprise Expressions: A Subtle Emotional Multimodal Language Corpus COLING 2024 FuseGen: PLM Fusion for Data-generation based Zero-shot Learning EMNLP 2024 FuseMoE: Mixture-of-Experts Transformers for Fleximodal Fusion NeurIPS 2024