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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)

Auxiliary Prompt Tuning of Vision-Language Models for Few-Shot Out-of-Distribution Detection ICCV 2025 A Variational Framework for Improving Naturalness in Generative Spoken Language Models ICML 2025 AveniBench: Accessible and Versatile Evaluation of Finance Intelligence COLING 2025 Averroes at BEA 2025 Shared Task: Verifying Mistake Identification in Tutor, Student Dialogue ACL 2025 AVF-MAE++: Scaling Affective Video Facial Masked Autoencoders via Efficient Audio-Visual Self-Supervised Learning CVPR 2025 A Visual Leap in CLIP Compositionality Reasoning through Generation of Counterfactual Sets ICCV 2025 AVQACL: A Novel Benchmark for Audio-Visual Question Answering Continual Learning CVPR 2025 AVTrustBench: Assessing and Enhancing Reliability and Robustness in Audio-Visual LLMs ICCV 2025 Awes, Laws, and Flaws From Today’s LLM Research ACL 2025 AWRaCLe: All-Weather Image Restoration Using Visual In-Context Learning AAAI 2025 Axioms for AI Alignment from Human Feedback AAAI 2025 Axis-level Symmetry Detection with Group-Equivariant Representation ICCV 2025 A Zero-Shot Neuro-Symbolic Approach for Complex Knowledge Graph Question Answering EMNLP 2025 A Zero-Shot Open-Vocabulary Pipeline for Dialogue Understanding NAACL 2025 BabyLM’s First Words: Word Segmentation as a Phonological Probing Task CoNLL 2025 BabyLMs for isiXhosa: Data-Efficient Language Modelling in a Low-Resource Context COLING 2025 Babysit A Language Model From Scratch: Interactive Language Learning by Trials and Demonstrations NAACL 2025 BabyVLM: Data-Efficient Pretraining of VLMs Inspired by Infant Learning ICCV 2025 Back Attention: Understanding and Enhancing Multi-Hop Reasoning in Large Language Models EMNLP 2025 Backdoor Attack on Propagation-based Rumor Detectors AAAI 2025 Backdoor Attack on Vertical Federated Graph Neural Network Learning IJCAI 2025 Backdoor Attacks Against No-Reference Image Quality Assessment Models via a Scalable Trigger AAAI 2025 Backdoor Defense via Enhanced Splitting and Trap Isolation ICCV 2025 Backdooring Self-Supervised Contrastive Learning by Noisy Alignment ICCV 2025 Backdoor Token Unlearning: Exposing and Defending Backdoors in Pretrained Language Models AAAI 2025