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
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'25
Papers (including subtopics)
CAFE: Retrieval Head-based Coarse-to-Fine Information Seeking to Enhance Multi-Document QA Capability
EMNLP 2025
CA-GAR: Context-Aware Alignment of LLM Generation for Document Retrieval
ACL 2025
CAGE: Unsupervised Visual Composition and Animation for Controllable Video Generation
AAAI 2025
CAIDAS at SemEval-2025 Task 7: Enriching Sparse Datasets with LLM-Generated Content for Improved Information Retrieval
SemEval 2025
CAKE: Cascading and Adaptive KV Cache Eviction with Layer Preferences
ICLR 2025
CAKE: Category Aware Knowledge Extraction for Open-Vocabulary Object Detection
AAAI 2025
CALF: Aligning LLMs for Time Series Forecasting via Cross-modal Fine-Tuning
AAAI 2025
Calib3D: Calibrating Model Preferences for Reliable 3D Scene Understanding
WACV 2025
CalibraEval: Calibrating Prediction Distribution to Mitigate Selection Bias in LLMs-as-Judges
ACL 2025
Calibrated Computation-Aware Gaussian Processes
AISTATS 2025
Calibrated Disambiguation for Partial Multi-label Learning
AAAI 2025
Calibrated Inference: Statistical Inference that Accounts for Both Sampling Uncertainty and Distributional Uncertainty
JMLR 2025
Calibrated Language Models and How to Find Them with Label Smoothing
ICML 2025
Calibrated Multi-Preference Optimization for Aligning Diffusion Models
CVPR 2025
Calibrated Physics-Informed Uncertainty Quantification
ICML 2025
Calibrated Regression Against An Adversary Without Regret
UAI 2025
Calibrated Value-Aware Model Learning with Probabilistic Environment Models
ICML 2025
Calibrating Language Models for Neural Ranking under Noisy Supervision with Relaxed Labels
EMNLP 2025
Calibrating Large Language Models with Sample Consistency
AAAI 2025
Calibrating LLM Confidence by Probing Perturbed Representation Stability
EMNLP 2025
Calibrating LLMs for Text-to-SQL Parsing by Leveraging Sub-clause Frequencies
EMNLP 2025
Calibrating LLMs with Information-Theoretic Evidential Deep Learning
ICLR 2025
Calibrating MLLM-as-a-judge via Multimodal Bayesian Prompt Ensembles
ICCV 2025
Calibrating Pseudo-Labeling with Class Distribution for Semi-supervised Text Classification
EMNLP 2025
Calibrating Verbal Uncertainty as a Linear Feature to Reduce Hallucinations
EMNLP 2025