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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)

Turning English-centric LLMs Into Polyglots: How Much Multilinguality Is Needed? EMNLP 2024 TVE: Learning Meta-attribution for Transferable Vision Explainer ICML 2024 T-VSL: Text-Guided Visual Sound Source Localization in Mixtures CVPR 2024 TV-TREES: Multimodal Entailment Trees for Neuro-Symbolic Video Reasoning EMNLP 2024 Twice Class Bias Correction for Imbalanced Semi-supervised Learning AAAI 2024 Twin-Merging: Dynamic Integration of Modular Expertise in Model Merging NeurIPS 2024 Twists, Humps, and Pebbles: Multilingual Speech Recognition Models Exhibit Gender Performance Gaps EMNLP 2024 Two Approaches to Diachronic Normalization of Polish Texts EACL 2024 Two Birds with One Stone: Enhancing Uncertainty Quantification and Interpretability with Graph Functional Neural Process AISTATS 2024 Two fundamental limits for uncertainty quantification in predictive inference COLT 2024 Two Heads are Actually Better than One: Towards Better Adversarial Robustness via Transduction and Rejection ICML 2024 Two Heads are Better than One: Nested PoE for Robust Defense Against Multi-Backdoors NAACL 2024 Two-Pronged Human Evaluation of ChatGPT Self-Correction in Radiology Report Simplification ACL 2024 Two-stage LLM Fine-tuning with Less Specialization and More Generalization ICLR 2024 Two-stage Semi-supervised Speaker Recognition with Gated Label Learning IJCAI 2024 Two Tales of Single-Phase Contrastive Hebbian Learning ICML 2024 Two-way Deconfounder for Off-policy Evaluation in Causal Reinforcement Learning NeurIPS 2024 Typicalness-Aware Learning for Failure Detection NeurIPS 2024 Typos that Broke the RAG’s Back: Genetic Attack on RAG Pipeline by Simulating Documents in the Wild via Low-level Perturbations EMNLP 2024 U3DS3: Unsupervised 3D Semantic Scene Segmentation WACV 2024 UAlberta at SemEval-2024 Task 1: A Potpourri of Methods for Quantifying Multilingual Semantic Textual Relatedness and Similarity SemEval 2024 UDA: A Benchmark Suite for Retrieval Augmented Generation in Real-World Document Analysis NeurIPS 2024 UDA-Bench: Revisiting Common Assumptions in Unsupervised Domain Adaptation Using a Standardized Framework ECCV 2024 UDC: A Unified Neural Divide-and-Conquer Framework for Large-Scale Combinatorial Optimization Problems NeurIPS 2024 UDParse @ SIGTYP 2024 Shared Task : Modern Language Models for Historical Languages EACL 2024