Skip to content
conftrace_

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)
38
179
3,018
5,737
'10
'15
'20
'25

Papers (including subtopics)

A Single-Stage Multi-Style License Plate Recognition Method Based on Attention ACML 2024 A SMART Mnemonic Sounds like “Glue Tonic”: Mixing LLMs with Student Feedback to Make Mnemonic Learning Stick EMNLP 2024 Aspect-Based Sentiment Analysis with Explicit Sentiment Augmentations AAAI 2024 ASR TAMIL SSN@ LT-EDI-2024: Automatic Speech Recognition system for Elderly People EACL 2024 Assessing “Implicit” Retrieval Robustness of Large Language Models EMNLP 2024 Assessing Neural Network Robustness via Adversarial Pivotal Tuning WACV 2024 Assisting Breastfeeding and Maternity Experts in Responding to User Queries with an AI-in-the-loop Approach EMNLP 2024 Association Pattern-aware Fusion for Biological Entity Relationship Prediction NeurIPS 2024 A Stable, Fast, and Fully Automatic Learning Algorithm for Predictive Coding Networks ICLR 2024 A Study of Dropout-Induced Modality Bias on Robustness to Missing Video Frames for Audio-Visual Speech Recognition CVPR 2024 A Study of Parameter Efficient Fine-tuning by Learning to Efficiently Fine-Tune EMNLP 2024 A Survey on Detection of LLMs-Generated Content EMNLP 2024 A Survey on Natural Language Counterfactual Generation EMNLP 2024 ASWT-SGNN: Adaptive Spectral Wavelet Transform-Based Self-Supervised Graph Neural Network AAAI 2024 Asymmetric Masked Distillation for Pre-Training Small Foundation Models CVPR 2024 Asymptotics of Learning with Deep Structured (Random) Features ICML 2024 Asynchronous Perception Machine for Efficient Test Time Training NeurIPS 2024 AT4CTR: Auxiliary Match Tasks for Enhancing Click-Through Rate Prediction AAAI 2024 ATAP: Automatic Template-Augmented Commonsense Knowledge Graph Completion via Pre-Trained Language Models EMNLP 2024 A-Teacher: Asymmetric Network for 3D Semi-Supervised Object Detection CVPR 2024 A Textbook Remedy for Domain Shifts: Knowledge Priors for Medical Image Analysis NeurIPS 2024 Athena: Safe Autonomous Agents with Verbal Contrastive Learning EMNLP 2024 A Theoretical Understanding of Self-Correction through In-context Alignment NeurIPS 2024 ATM: Adversarial Tuning Multi-agent System Makes a Robust Retrieval-Augmented Generator EMNLP 2024 Atomic Self-Consistency for Better Long Form Generations EMNLP 2024