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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)

There’s No Such Thing as Simple Reasoning for LLMs ACL 2025 The Right Time Matters: Data Arrangement Affects Zero-Shot Generalization in Instruction Tuning ACL 2025 Thermal-Aware Low-Light Image Enhancement: A Real-World Benchmark and a New Light-Weight Model AAAI 2025 The Role of Abstract Representations and Observed Preferences in the Ordering of Binomials in Large Language Models ACL 2025 The Role of Deductive and Inductive Reasoning in Large Language Models ACL 2025 The Role of Outgoing Connection Heterogeneity in Feedforward Layers of Large Language Models EMNLP 2025 THESAURUS: Contrastive Graph Clustering by Swapping Fused Gromov-Wasserstein Couplings AAAI 2025 The Self-Improvement Paradox: Can Language Models Bootstrap Reasoning Capabilities without External Scaffolding? ACL 2025 The ShareLM Collection and Plugin: Contributing Human-Model Chats for the Benefit of the Community ACL 2025 The Sound of Syntax: Finetuning and Comprehensive Evaluation of Language Models for Speech Pathology EMNLP 2025 The Source Image is the Best Attention for Infrared and Visible Image Fusion ICCV 2025 The Strawberry Problem: Emergence of Character-level Understanding in Tokenized Language Models EMNLP 2025 The Sublime Ordinary: A Tool for Analysing Temporal City Soundscapes NeurIPS 2025 Thinking Fast and Slow: Robust Speech Recognition via Deep Filter-Tuning Interspeech 2025 Thinking Out Loud: Do Reasoning Models Know When They’re Right? EMNLP 2025 Thinking with DistilQwen: A Tale of Four Distilled Reasoning and Reward Model Series EMNLP 2025 Think More, Hallucinate Less: Mitigating Hallucinations via Dual Process of Fast and Slow Thinking ACL 2025 ThinkQE: Query Expansion via an Evolving Thinking Process EMNLP 2025 Think-Search-Patch: A Retrieval-Augmented Reasoning Framework for Repository-Level Code Repair EMNLP 2025 ThinkSLM: Towards Reasoning in Small Language Models EMNLP 2025 Think Twice: Test-Time Reasoning for Robust CLIP Zero-Shot Classification ICCV 2025 Thought2Text: Text Generation from EEG Signal using Large Language Models (LLMs) NAACL 2025 Thought-Path Contrastive Learning via Premise-Oriented Data Augmentation for Logical Reading Comprehension AAAI 2025 ThoughtProbe: Classifier-Guided LLM Thought Space Exploration via Probing Representations EMNLP 2025 Three Cars Approaching within 100m! Enhancing Distant Geometry by Tri-Axis Voxel Scanning for Camera-based Semantic Scene Completion CVPR 2025