Machine Learning
132,800 papers (10 classified directly here)
Subtopics · a paper can sit in several, so these overlap
Papers per year
5
22
43
74
52
76
308
315
348
358
533
570
711
1,481
1,361
1,651
2,440
3,865
5,968
9,301
11,133
13,312
14,452
17,500
20,351
21,167
5,403
2000
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'10
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Papers (including subtopics)
CAFU: Constrained Alignment and Filtered Uniformity for Denoising Recommendation
AAAI 2026
CAIRE: Cultural Attribution of Images with Retrieval
EACL 2026
CALE : Concept-Aligned Embeddings for Both Within-Lemma and Inter-Lemma Sense Differentiation
EACL 2026
Calibeating Made Simple
COLT 2026
Calibrating and Rotating: A Unified Framework for Weight Conditioning in PEFT
AAAI 2026
Calibrating Reliance: Addressing Misuse and Disuse in AI-Based Second-Opinion Systems for Medical Diagnosis
AAAI 2026
Calibration-Aware Online Adaptation under Label Shift
UAI 2026
Calibration vs Decision Making: Revisiting the Reliability Paradox in Unlearned Language Models
ACL 2026
CAL-Log: Cost-Aware Active Learning with Logarithmic Cognitive Effort Modeling and Online Adaptation to Human Annotation Behavior
ACL 2026
Call, Reward, Repeat: Advancing Dialog State Tracking with GRPO and Function Calling
EACL 2026
CAMERA: Multi-Matrix Joint Compression for MoE Models via Micro-Expert Redundancy Analysis
AAAI 2026
CAML: A Conflict-Aware Molecular Language Model Merging Framework for Multi-Constraint Molecular Generation
ACL 2026
CamPI: Physical Adversarial Examples through Camera Power Signal Injection
CVPR 2026
CAMP-VQA: Caption-Embedded Multimodal Perception for No-Reference Quality Assessment of Compressed Video
WACV 2026
Can Calibration of Positional Encodings Enhance Long Context Utilization?
EACL 2026
Can ChatGPT Really Understand Modern Chinese Poetry?
EACL 2026
CANDI: Curated Test-Time Adaptation for Multivariate Time-Series Anomaly Detection Under Distribution Shift
AAAI 2026
CanKD: Cross-Attention-based Non-local Operation for Feature-based Knowledge Distillation
WACV 2026
Can LLMs Detect Their Confabulations? Estimating Reliability in Uncertainty-Aware Language Models
AAAI 2026
Can Models Help Us Create Better Models? Evaluating LLMs as Data Scientists
EACL 2026
Can Molecular Evolution Mechanism Enhance Molecular Representation?
AAAI 2026
Can Natural Image Autoencoders Compactly Tokenize fMRI Volumes for Long-Range Dynamics Modeling?
CVPR 2026
Canonical Domain Reduction for Partial Counterfactual Identification
UAI 2026
Can Optimal Transport Improve Federated Inverse Reinforcement Learning?
L4DC 2026
Can Persona-Prompted LLMs Emulate Subgroup Values? An Empirical Analysis of Generalisability and Fairness in Cultural Alignment
ACL 2026