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

1

22

25

29

26

38

46

60

109

129

179

310

686

1,294

2,286

3,018

3,254

3,930

4,067

4,819

5,737

2,605

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Papers (including subtopics)

FairLLaVA: Fairness-Aware Parameter-Efficient Fine-Tuning for Large Vision-Language Assistants CVPR 2026 FALCON: False-Negative Aware Learning of Contrastive Negatives in Vision-Language Alignment CVPR 2026 FantasyVLN: Unified Multimodal Chain-of-Thought Reasoning for Vision-and-Language Navigation CVPR 2026 Farhan Nafis Rayhan at SemEval-2026 Task 13: Supervised Contrastive Learning Approach with Gated Multiclass Decomposition Ensemble Architecture for Code Authorship Identification SemEval 2026 Fast-FoundationStereo: Real-Time Zero-Shot Stereo Matching CVPR 2026 FastHybrid: Accelerating Hybrid Autoregressive Image Generation with Lookahead and Guided Decoding CVPR 2026 FastLightGen: Fast and Light Video Generation with Fewer Steps and Parameters CVPR 2026 Fast Reasoning Segmentation for Images and Videos CVPR 2026 FastRef: Fast Prototype Refinement for Few-shot Industrial Anomaly Detection CVPR 2026 Fast-ThinkAct: Efficient Vision-Language-Action Reasoning via Verbalizable Latent Planning CVPR 2026 FBTA: Enabling Single-GPU End-to-End Gigapixel WSI Classification with Feature Bridging and Translation Alignment CVPR 2026 FC-TTS: Style and Timbre Control in Zero-Shot Text-to-Speech with Disentangled Speech Representations ACL 2026 FE2E: From Editor to Dense Geometry Estimator CVPR 2026 Feature Hallucination for Self-supervised Action Recognition (Abstract Reprint) AAAI 2026 Featurising Pixels from Dynamic 3D Scenes with Linear In-Context Learners CVPR 2026 FedAdamom: Adaptive Momentum for Improved Generalization in Federated Optimization CVPR 2026 Fed-ADE: Adaptive Learning Rate for Federated Post-adaptation under Distribution Shift CVPR 2026 FedAFD: Multimodal Federated Learning via Adversarial Fusion and Distillation CVPR 2026 FedAlign: Differentially Private Distribution Alignment for Non-IID Federated Learning CVPR 2026 FedARA: Resource-adaptive Low-rank Personalized Federated Learning via Anchor-driven Representation Alignment on Heterogeneous Edge Devices CVPR 2026 FedBPrompt: Federated Domain Generalization Person Re-Identification via Body Distribution Aware Visual Prompts CVPR 2026 FedCART: Tackling Long-Tailed Distributions in Federated Adversarial Training via Classifier Refinement CVPR 2026 FedDAP: Domain-Aware Prototype Learning for Federated Learning under Domain Shift CVPR 2026 Federated Active Learning Under Extreme Non-IID and Global Class Imbalance CVPR 2026 FedPAGR: Federated Prototype Alignment via Geometric Refinement for Heterogeneous Architectures ACL 2026