Proceedings of Machine Learning Research FAQ
The Proceedings of Machine Learning Research (formerly JMLR Workshop and Conference Proceedings) is a series aimed specifically at publishing machine learning research presented at workshops and conferences. Each volume is separately titled and associated with a particular workshop or conference. Volumes are published online on the PMLR web site. The Series Editors are Neil D. Lawrence and Mark Reid.
PMLR Proceedings Specificationproceedings.mlr.press
Improving Policy Learning via Language Dynamics DistillationCohere
When Personalization Meets Reality: A Multi-Faceted Analysis of Personalized Preference LearningCohere
Prioritized Training on Points that are Learnable, Worth Learning, and Not Yet LearntCohere
Soft-SVeRL: Self-Verified Reinforcement Learning with Soft RewardsCohere
Countering Reward Over-optimization in LLM with Demonstration-Guided Reinforcement LearningCohere
Lessons Swift Designer Chris Lattner Has Learned about LeadershipThenewstack
Summer Data Engineering RoadmapMotherduck
Capturing Logs in Docker DesktopDocker
How To Create and Use Avatars in eLearningHeygen
From Hawking to Siri: The Evolution of Speech SynthesisDeepgram
How Sky Italia Digitizes Learning Paths to Accelerate New Product Launches by 4xSynthesia
How EPOS achieved a 90% learning completition rate with AI video.Synthesia
How Mondelez Accelerates Supply Chain Training Across 150+ Global Manufacturing PlantsSynthesia
Training: Hard Work Pays off for Data/AI ProsThenewstack
Breakdown: The Kubernetes-Run AI Video Generation Pipeline for NIUS.TVThenewstack
Cerebras Architecture Deep Dive: First Look Inside the HW/SW Co-Design for Deep Learning [Updated]Cerebras
Cirrascale Cloud Services® and Cerebras Systems Announce Availability of Cerebras Cloud @ CirrascaleCerebras
DockerCon Workshops: Getting Started with Docker, AI/ML, Secure DevelopmentDocker
How to Get a Job in Deep Learning - Deepgram Blog ⚡️Deepgram
