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Learning Types

32,670 papers (1 classified directly here)

Representation Learning (5,307) Multimodal Learning (3,969) Self-Supervised Learning (3,492) Transfer Learning (2,890) Adversarial Learning (2,199) Deep Learning (1,883) Contrastive Learning (1,730) Reinforcement Learning (1,500) Knowledge Distillation (1,494) Fine-Tuning (1,117) Multi-Task Learning (1,069) Domain Adaptation (977) Zero-Shot Learning (758) Unsupervised Learning (734) Few-Shot Learning (694) Classification (621) Retrieval-Augmented Generation (606) Data Augmentation (583) Semi-Supervised Learning (450) Weakly Supervised Learning (429) Continual Learning (408) In-Context Learning (387) Sequence Modeling (375) Meta-Learning (252) Metric Learning (232) Ensemble Learning (223) Federated Learning (215) Multi-Lingual Learning (199) Robustness (197) Parameter-Efficient Fine-Tuning (190) Imitation Learning (180) Prompt Engineering (170) Chain-of-Thought Reasoning (153) Curriculum Learning (146) Synthetic Data Generation (143) Reinforcement Learning from Human Feedback (141) Multi-Label Classification (123) Regression (117) Generative Model (109) Semantic Segmentation (106) Domain Generalization (105) Uncertainty Quantification (98) Controllable Generation (93) Text Generation (86) Neural Architecture Search (80) Object Detection (80) Image Generation (79) Multi-Agent Systems (76) Feature Learning (74) Preference Learning (73) Machine Translation (71) Out-of-Distribution Detection (68) Machine Unlearning (63) Generation (61) Reasoning (54) Multi-View Learning (53) Time Series (52) Instruction Tuning (50) Distributed Learning (50) Image Restoration (49) Chain-of-Thought (48) Active Learning (47) Text Classification (43) Distribution Shift (43) Structured Prediction (42) Clustering (41) Image Classification (40) Model Merging (37) Sparse Learning (36) Sequence Labeling (36) Multi-Instance Learning (35) Anomaly Detection (33) Image Processing (33) Code Generation (31) Fairness (30) Robust Learning (28) Multi-Domain Learning (27) Supervised Learning (26) Model-Based RL (25) Natural Language Generation (24) Privacy (21) Multi-Objective Optimization (19) Multi-Scale Learning (19) Neural Machine Translation (18) Causal Inference (14) Instance Segmentation (9) Interactive Learning (9) Multi-Label Learning (9) Multi-Source Learning (9) Multi-Class Classification (8)
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Papers (including subtopics)

BBN-U.Oregon’s ALERT system at GenAI Content Detection Task 3: Robust Authorship Style Representations for Cross-Domain Machine-Generated Text Detection COLING 2025 bbStar at SemEval-2025 Task 10: Improving Narrative Classification and Explanation via Fine Tuned Language Models SemEval 2025 BCE vs. CE in Deep Feature Learning ICML 2025 BcQLM: Efficient Vision-Language Understanding with Distilled Q-Gated Cross-Modal Fusion EMNLP 2025 BD at BEA 2025 Shared Task: MPNet Ensembles for Pedagogical Mistake Identification and Localization in AI Tutor Responses ACL 2025 BDA-UC3M @ BioLaySumm: Efficient Lay Summarization with Small-Scale SoTA LLMs ACL 2025 BeaverTalk: Oregon State University’s IWSLT 2025 Simultaneous Speech Translation System ACL 2025 BeFA: A General Behavior-driven Feature Adapter for Multimedia Recommendation AAAI 2025 Behavioural vs. Representational Systematicity in End-to-End Models: An Opinionated Survey ACL 2025 Behaviour Preference Regression for Offline Reinforcement Learning AAAI 2025 Bemba Speech Translation: Exploring a Low-Resource African Language ACL 2025 Benchmarking and Mitigating MCQA Selection Bias of Large Vision-Language Models EMNLP 2025 Benchmarking Debiasing Methods for LLM-based Parameter Estimates EMNLP 2025 Benchmarking LLM Faithfulness in RAG with Evolving Leaderboards EMNLP 2025 Benchmarking LLMs for Translating Classical Chinese Poetry: Evaluating Adequacy, Fluency, and Elegance EMNLP 2025 Benchmarking Multimodal Large Language Models Against Image Corruptions ICCV 2025 Benchmarking Multimodal Models for Ukrainian Language Understanding Across Academic and Cultural Domains ACL 2025 Benchmarking Table Extraction: Multimodal LLMs vs Traditional OCR ACL 2025 Benchmarking zero-shot biomedical relation triplet extraction across language model architectures ACL 2025 Beneath the Facade: Probing Safety Vulnerabilities in LLMs via Auto-Generated Jailbreak Prompts EMNLP 2025 Better Embeddings with Coupled Adam ACL 2025 Better Instruction-Following Through Minimum Bayes Risk ICLR 2025 Better Pseudo-labeling with Multi-ASR Fusion and Error Correction by SpeechLLM Interspeech 2025 Better Red Teaming via Searching with Large Language Model ACL 2025 Better Semi-supervised Learning for Multi-domain ASR Through Incremental Retraining and Data Filtering Interspeech 2025