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
'5
'10
'15
'20
'25
Papers (including subtopics)
Kuvost: A Large-Scale Human-Annotated English to Central Kurdish Speech Translation Dataset Driven from English Common Voice
ACL 2025
KV-Edit: Training-Free Image Editing for Precise Background Preservation
ICCV 2025
KVFKT: A New Horizon in Knowledge Tracing with Attention-Based Embedding and Forgetting Curve Integration
COLING 2025
KV-Latent: Dimensional-level KV Cache Reduction with Frequency-aware Rotary Positional Embedding
ACL 2025
KVPR: Efficient LLM Inference with I/O-Aware KV Cache Partial Recomputation
ACL 2025
KVTuner: Sensitivity-Aware Layer-Wise Mixed-Precision KV Cache Quantization for Efficient and Nearly Lossless LLM Inference
ICML 2025
KyuHyunChoi at SemEval-2025 Task 10: Narrative Extraction Using a Summarization-Specific Pretrained Model
SemEval 2025
L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning
ICML 2025
L3i++ at GenAI Detection Task 1: Can Label-Supervised LLaMA Detect Machine-Generated Text?
COLING 2025
L3Ms — Lagrange Large Language Models
ICLR 2025
L3TC: Leveraging RWKV for Learned Lossless Low-Complexity Text Compression
AAAI 2025
L4: Mutual Learning Helps Lifelong Language Learning
EMNLP 2025
L4Q: Parameter Efficient Quantization-Aware Fine-Tuning on Large Language Models
ACL 2025
LA²I²F at SemEval-2025 Task 5: Reasoning in Embedding Space – Fusing Analogical and Ontology-based Reasoning for Document Subject Tagging
SemEval 2025
Label Aggregation for Composite Crowd Tasks by Worker Ability Constraint Satisfaction
AAAI 2025
Label Augmented Dataset Distillation
WACV 2025
Label Bias in Symbolic Representation of Meaning
ACL 2025
Label Calibration in Source Free Domain Adaptation
WACV 2025
Label Convergence: Defining an Upper Performance Bound in Object Recognition through Contradictory Annotations
WACV 2025
Label Distribution Learning using the Squared Neural Family on the Probability Simplex
UAI 2025
Label Distribution Learning with Biased Annotations Assisted by Multi-Label Learning
IJCAI 2025
Label Drop for Multi-Aspect Relation Modeling in Universal Information Extraction
NAACL 2025
Label-Free Backdoor Attacks in Vertical Federated Learning
AAAI 2025
Label-Free Distinctiveness: Building a Continuous Trademark Scale via Synthetic Anchors
EMNLP 2025
Label Noise Correction via Fuzzy Learning Machine
AAAI 2025