Skip to content
conftrace_

Learning Types

32,670 papers (1 classified directly here)

Subtopics · a paper can sit in several, so these overlap

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)

Papers per year

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

Papers (including subtopics)

CLIPVG: Text-Guided Image Manipulation Using Differentiable Vector Graphics AAAI 2023 CL-NeRF: Continual Learning of Neural Radiance Fields for Evolving Scene Representation NeurIPS 2023 Cloud-Device Collaborative Adaptation to Continual Changing Environments in the Real-World CVPR 2023 Clover: Towards a Unified Video-Language Alignment and Fusion Model CVPR 2023 Cluster-aware Semi-supervised Learning: Relational Knowledge Distillation Provably Learns Clustering NeurIPS 2023 Cluster-Guided Contrastive Graph Clustering Network AAAI 2023 ClusterPrompt: Cluster Semantic Enhanced Prompt Learning for New Intent Discovery EMNLP 2023 CMNet: Contrastive Magnification Network for Micro-Expression Recognition AAAI 2023 CMOT: Cross-modal Mixup via Optimal Transport for Speech Translation ACL 2023 CMU’s IWSLT 2023 Simultaneous Speech Translation System ACL 2023 CMVAE: Causal Meta VAE for Unsupervised Meta-Learning AAAI 2023 C-NTPP: Learning Cluster-Aware Neural Temporal Point Process AAAI 2023 CNVid-3.5M: Build, Filter, and Pre-Train the Large-Scale Public Chinese Video-Text Dataset CVPR 2023 Co2PT: Mitigating Bias in Pre-trained Language Models through Counterfactual Contrastive Prompt Tuning EMNLP 2023 Coaching a Teachable Student CVPR 2023 Coarse2Fine: Local Consistency Aware Re-prediction for Weakly Supervised Object Localization AAAI 2023 Coarse-to-Fine Contrastive Learning in Image-Text-Graph Space for Improved Vision-Language Compositionality EMNLP 2023 Coarse-to-Fine Dual Encoders are Better Frame Identification Learners EMNLP 2023 Coarse-to-fine Few-shot Learning for Named Entity Recognition ACL 2023 CoBERT: Self-Supervised Speech Representation Learning Through Code Representation Learning Interspeech 2023 COCA: COllaborative CAusal Regularization for Audio-Visual Question Answering AAAI 2023 COCKATIEL: COntinuous Concept ranKed ATtribution with Interpretable ELements for explaining neural net classifiers on NLP ACL 2023 CODA-Prompt: COntinual Decomposed Attention-Based Prompting for Rehearsal-Free Continual Learning CVPR 2023 Code4Struct: Code Generation for Few-Shot Event Structure Prediction ACL 2023 CodeAttack: Code-Based Adversarial Attacks for Pre-trained Programming Language Models AAAI 2023