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)

CodeIE: Large Code Generation Models are Better Few-Shot Information Extractors ACL 2023 Code-Switched Text Synthesis in Unseen Language Pairs ACL 2023 CodeT5+: Open Code Large Language Models for Code Understanding and Generation EMNLP 2023 Code Translation with Compiler Representations ICLR 2023 CodeTransOcean: A Comprehensive Multilingual Benchmark for Code Translation EMNLP 2023 CoEdIT: Text Editing by Task-Specific Instruction Tuning EMNLP 2023 COFFEE: A Contrastive Oracle-Free Framework for Event Extraction ACL 2023 Cognitive Reframing of Negative Thoughts through Human-Language Model Interaction ACL 2023 CoLaDa: A Collaborative Label Denoising Framework for Cross-lingual Named Entity Recognition ACL 2023 COLA: Orchestrating Error Coding and Learning for Robust Neural Network Inference Against Hardware Defects ICML 2023 ColD Fusion: Collaborative Descent for Distributed Multitask Finetuning ACL 2023 Collaboration Helps Camera Overtake LiDAR in 3D Detection CVPR 2023 Collaborative Static and Dynamic Vision-Language Streams for Spatio-Temporal Video Grounding CVPR 2023 Collecting Cross-Modal Presence-Absence Evidence for Weakly-Supervised Audio-Visual Event Perception CVPR 2023 CoLT5: Faster Long-Range Transformers with Conditional Computation EMNLP 2023 CoMAE: Single Model Hybrid Pre-training on Small-Scale RGB-D Datasets AAAI 2023 CoMave: Contrastive Pre-training with Multi-scale Masking for Attribute Value Extraction ACL 2023 Combating Bilateral Edge Noise for Robust Link Prediction NeurIPS 2023 Combating Mode Collapse via Offline Manifold Entropy Estimation AAAI 2023 Combining Adversaries with Anti-adversaries in Training AAAI 2023 Combining Denoising Autoencoders with Contrastive Learning to fine-tune Transformer Models EMNLP 2023 CoMFormer: Continual Learning in Semantic and Panoptic Segmentation CVPR 2023 CommonAccent: Exploring Large Acoustic Pretrained Models for Accent Classification Based on Common Voice Interspeech 2023 Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence ICCV 2023 Comparing Prompt-Based and Standard Fine-Tuning for Urdu Text Classification EMNLP 2023