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)
Invited Open Problem: Is the Power of Deep Learning over Linear Models Inherently Distribution Dependent?
COLT 2026
Invited Open Problem: Online Optimization of Piecewise-Lipschitz Functions with Applications to Data-Driven Algorithm Design
COLT 2026
IO-RAE: Information-Obfuscation Reversible Adversarial Example for Audio Privacy Protection
AAAI 2026
IPTQ-ViT: Post-Training Quantization of Non-linear Functions for Integer-only Vision Transformers
WACV 2026
IQGS: Instance Query-based Gaussian Segmentation
AAAI 2026
IROTE: Human-like Traits Elicitation of Large Language Model via In-Context Self-Reflective Optimization
AAAI 2026
IRPO: Implicit Policy Regularized Preference Optimization
EACL 2026
ISALux: Illumination and Semantics-Aware Transformer Employing Mixture of Experts for Low Light Image Enhancement
WACV 2026
Is Bin Generation Indispensable? A Bin-Generation-Free Dataset Quantization via Semantic Perspective
CVPR 2026
Is Exchangeability better than I.I.D. to handle Data Distribution Shifts while Pooling Data for Data-scarce Medical image segmentation?
MIDL 2026
Is He Extroverted? Identifying Missing Relevant Personas for Faithful User Simulation
EACL 2026
Is Memorization Helpful or Harmful? Prior Information Sets the Threshold
COLT 2026
Is Multi-Distribution Learning as Easy as PAC Learning: Sharp Rates with Bounded Label Noise
COLT 2026
IsoCLIP: Decomposing CLIP Projectors for Efficient Intra-modal Alignment
CVPR 2026
Is Sentiment Banana-Shaped? Exploring the Geometry and Portability of Sentiment Concept Vectors
EACL 2026
Is the Information Bottleneck Robust Enough? Towards Label-Noise Resistant Information Bottleneck Learning
AAAI 2026
Is This LLM Library Learning? Evaluation Must Account For Compute and Behaviour
EACL 2026
Is Your (Reasoning) Multimodal Language Model Vulnerable Toward Distractions?
AAAI 2026
Iterative Structured Pruning for Large Language Models with Multi-Domain Calibration
EACL 2026
ITPP: Learning Disentangled Event Dynamics in Marked Temporal Point Processes
AAAI 2026
It’s All About the Confidence: An Unsupervised Approach for Multilingual Historical Entity Linking using Large Language Models
EACL 2026
ITSELF: Attention Guided Fine-Grained Alignment for Vision-Language Retrieval
WACV 2026
ITUNLP at MWE-2026 AdMIRe 2: A Zero-Shot LLM Pipeline for Multimodal Idiom Understanding and Ranking
EACL 2026
Jailbreaks as Inference-Time Alignment: A Framework for Understanding Safety Failures in LLMs
EACL 2026
JOCA: Task-Driven Joint Optimisation of Camera Hardware and Adaptive Camera Control Algorithms
WACV 2026