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)
A Mixture-Based Framework for Guiding Diffusion Models
ICML 2025
AMNCutter: Affinity-Attention-Guided Multi-View Normalized Cutter for Unsupervised Surgical Instrument Segmentation
WACV 2025
AMO: Adaptive Motion Optimization for Hyper-Dexterous Humanoid Whole-Body Control
RSS 2025
A Modal Logic of Optimality (Student Abstract)
AAAI 2025
A Modular Approach for Clinical SLMs Driven by Synthetic Data with Pre-Instruction Tuning, Model Merging, and Clinical-Tasks Alignment
ACL 2025
A Modular Taxonomy for Hate Speech Definitions and Its Impact on Zero-Shot LLM Classification Performance
ACL 2025
A Monte-Carlo Sampling Framework For Reliable Evaluation of Large Language Models Using Behavioral Analysis
EMNLP 2025
AMoPO: Adaptive Multi-objective Preference Optimization without Reward Models and Reference Models
ACL 2025
A Morpheme-Aware Child-Inspired Language Model
EMNLP 2025
Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series
ICLR 2025
Amortized Probabilistic Conditioning for Optimization, Simulation and Inference
AISTATS 2025
A Mousetrap: Fooling Large Reasoning Models for Jailbreak with Chain of Iterative Chaos
ACL 2025
A.M.P at SciHal2025: Automated Hallucination Detection in Scientific Content via LLMs and Prompt Engineering
ACL 2025
Amphista: Bi-directional Multi-head Decoding for Accelerating LLM Inference
NAACL 2025
AmpleHate: Amplifying the Attention for Versatile Implicit Hate Detection
EMNLP 2025
Amplifier: Bringing Attention to Neglected Low-Energy Components in Time Series Forecasting
AAAI 2025
AMPO: Active Multi Preference Optimization for Self-play Preference Selection
ICML 2025
AMPS: ASR with Multimodal Paraphrase Supervision
NAACL 2025
AMP-ViT: Optimizing Vision Transformer Efficiency with Adaptive Mixed-Precision Post-Training Quantization
WACV 2025
AMQ: Enabling AutoML for Mixed-precision Weight-Only Quantization of Large Language Models
EMNLP 2025
AMR-RE: Abstract Meaning Representations for Retrieval-Based In-Context Learning in Relation Extraction
NAACL 2025
AMR-Transformer: Enabling Efficient Long-range Interaction for Complex Neural Fluid Simulation
CVPR 2025
Amulet: ReAlignment During Test Time for Personalized Preference Adaptation of LLMs
ICLR 2025
A Multi-Agent Framework for Mitigating Dialect Biases in Privacy Policy Question-Answering Systems
ACL 2025
A Multi-Agent Framework for Quantitative Finance : An Application to Portfolio Management Analytics
EMNLP 2025