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)
Controllable Unlearning for Image-to-Image Generative Models via ε-Constrained Optimization
ICLR 2025
Controlled Evaluation of Syntactic Knowledge in Multilingual Language Models
COLING 2025
Controlled Generation for Private Synthetic Text
EMNLP 2025
Controlled Generation with Equivariant Variational Flow Matching
ICML 2025
Controlled LLM Decoding via Discrete Auto-regressive Biasing
ICLR 2025
Controlled Low-Rank Adaptation with Subspace Regularization for Continued Training on Large Language Models
ACL 2025
Controlled Retrieval-augmented Context Evaluation for Long-form RAG
EMNLP 2025
Controlling Equational Reasoning in Large Language Models with Prompt Interventions
AAAI 2025
Controlling Human Shape and Pose in Text-to-Image Diffusion Models via Domain Adaptation
WACV 2025
Controlling Language Confusion in Multilingual LLMs
ACL 2025
Controlling Large Language Models Through Concept Activation Vectors
AAAI 2025
Controlling Large Language Model with Latent Action
ICML 2025
Controlling Multimodal LLMs via Reward-guided Decoding
ICCV 2025
Controlling Neural Collapse Enhances Out-of-Distribution Detection and Transfer Learning
ICML 2025
Controlling Out-of-Domain Gaps in LLMs for Genre Classification and Generated Text Detection
COLING 2025
ControlMed: Adding Reasoning Control to Medical Language Model
IJCNLP 2025
Control-oriented Clustering of Visual Latent Representation
ICLR 2025
ControlSpeech: Towards Simultaneous and Independent Zero-shot Speaker Cloning and Zero-shot Language Style Control
ACL 2025
ControlText: Unlocking Controllable Fonts in Multilingual Text Rendering without Font Annotations
EMNLP 2025
Conv-Basis: A New Paradigm for Efficient Attention Inference and Gradient Computation in Transformers
EMNLP 2025
Convergence Analysis for General Probability Flow ODEs of Diffusion Models in Wasserstein Distances
AISTATS 2025
Convergence Analysis of Federated Learning Methods Using Backward Error Analysis
AAAI 2025
Convergence Analysis of Policy Gradient Methods with Dynamic Stochasticity
ICML 2025
Convergence and Divergence of Language Models under Different Random Seeds
EMNLP 2025
Convergence and Implicit Bias of Gradient Descent on Continual Linear Classification
ICLR 2025