Machine Learning

UMKC Announces New Master of Science in Artificial Intelligence

UMKC announces a new Master of Science in Artificial Intelligence program aimed at addressing workforce demand for AI expertise, set to l...

[D] Looking for definition of open-world ish learning problem

Hello! Recently I did a project where I initially had around 30 target classes. But at inference, the model had to be able to handle a lo...

Mystery Shopping Meets Machine Learning: Can Algorithms Become the Ultimate Customer Experience Auditor?

Customer expectations across Africa are shifting faster than most organisations can track. A single inconsistent interaction can ignite a...

UMKC Announces New Master of Science in Artificial Intelligence

UMKC announces a new Master of Science in Artificial Intelligence program aimed at addressing workforce demand for AI expertise, set to l...

[D] Looking for definition of open-world ish learning problem

Hello! Recently I did a project where I initially had around 30 target classes. But at inference, the model had to be able to handle a lo...

Mystery Shopping Meets Machine Learning: Can Algorithms Become the Ultimate Customer Experience Auditor?

Customer expectations across Africa are shifting faster than most organisations can track. A single inconsistent interaction can ignite a...

GitHub to Use User Data for AI Training by Default

submitted by /u/i-drake [link] [comments]

Introducing TRIBE v2: A Predictive Foundation Model Trained to Understand How the Human Brain Processes Complex Stimuli

"Understanding how the human brain processes the world around us is one of the greatest open challenges in neuroscience. Breakthroughs he...

How to see through the opaqueness of pricing of tokens?

I was reflecting on this after reading articles like these The rise of China’s hottest new commodity: AI tokens More! More! More! Tech Wo...

[D] On conferences and page limitations

What is your opinion on long appendices in conference papers? I am observing that appendix lengths in conference papers (ICML, NeurIPS, e...

Accelerating science with AI and simulations

MIT Professor Rafael Gómez-Bombarelli discusses the transformative potential of AI in scientific research, emphasizing its role in materi...

Improving AI models’ ability to explain their predictions

[R] Which place should I commit to ACL SRW or ICML workshop or AACL?

Hello everyone, I got ARR review set on March 12 with submitted paper. OA 3, 2.5, 2.5 and 2. Meta review is 2.5 the harsh (2) guy critici...

Retraining vs Fine-tuning or Transfer Learning? [D]

Hi! I am currently working on a project that is basically an e-commerce clickstream data. We take in data, find the intent of the user(XG...

[2603.24343] Enhancing Efficiency and Performance in Deepfake Audio Detection through Neuron-level Dropin & Neuroplasticity Mechanisms

Abstract page for arXiv paper 2603.24343: Enhancing Efficiency and Performance in Deepfake Audio Detection through Neuron-level Dropin & ...

[2603.11687] SemBench: A Universal Semantic Framework for LLM Evaluation

Abstract page for arXiv paper 2603.11687: SemBench: A Universal Semantic Framework for LLM Evaluation

[2603.16179] 360° Image Perception with MLLMs: A Comprehensive Benchmark and a Training-Free Method

Abstract page for arXiv paper 2603.16179: 360° Image Perception with MLLMs: A Comprehensive Benchmark and a Training-Free Method

[2603.11583] UtilityMax Prompting: A Formal Framework for Multi-Objective Large Language Model Optimization

Abstract page for arXiv paper 2603.11583: UtilityMax Prompting: A Formal Framework for Multi-Objective Large Language Model Optimization

[2603.11560] Theory of Dynamic Adaptive Coordination

Abstract page for arXiv paper 2603.11560: Theory of Dynamic Adaptive Coordination

[2603.11413] Evaluation format, not model capability, drives triage failure in the assessment of consumer health AI

Abstract page for arXiv paper 2603.11413: Evaluation format, not model capability, drives triage failure in the assessment of consumer he...

[2603.16673] When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Robotic Decision-Making

Abstract page for arXiv paper 2603.16673: When Should a Robot Think? Resource-Aware Reasoning via Reinforcement Learning for Embodied Rob...

[2603.06663] Graph-of-Mark: Promote Spatial Reasoning in Multimodal Language Models with Graph-Based Visual Prompting

Abstract page for arXiv paper 2603.06663: Graph-of-Mark: Promote Spatial Reasoning in Multimodal Language Models with Graph-Based Visual ...

[2603.14294] Seeking Physics in Diffusion Noise

Abstract page for arXiv paper 2603.14294: Seeking Physics in Diffusion Noise