Field notes
2,343 notes from my AI research vault, mapped by topic. Pick a topic to see its notes, or search.
Click the web, then scroll to zoom
Every note is in the list below. The web of topics draws here once the page has loaded.
7 of 2,343 notes match.
- Question answered
- Source note
- Topic
- Shared notes
Notes on self-supervised learning
7 notes
Whisper-Aware LLM: Self-Supervised Uncertainty Learning for Robust Whispered Speech Recognition
The Whisper-Aware LLM is a new framework designed to improve the performance of ASR (Automatic Speech Recognition) systems for whispered speech. The model learns to perceive and react to the uncertainty associated with…
MSBraM: A Multi-scale Self-supervised Brain Foundation Model for Hierarchical EEG Dynamics Learning
The authors propose a new model named MSBraM to analyze electroencephalogram (EEG) signals more effectively. Existing methods struggle with the multi-scale temporal structure of EEG data, which includes both local…
VoLN: Vision-Only Long-Horizon Navigation---Paradigm, Benchmark, and Method
The text discusses a new navigation system called Vision-Only Long-Horizon Navigation (VoLN) for autonomous agents. In this system, the agent navigates using visual cues instead of relying on route-level instructions…
Learning to Move Before Learning to Do: Task-Agnostic pretraining for VLAs
Researchers propose a new framework called Task-Agnostic Pretraining (TAP) for Vision-Language-Action (VLA) models. The TAP aims to address the scarcity of expert demonstrations by separating two learning objectives…
Learning to Move Before Learning to Do: Task-Agnostic pretraining for VLAs
Researchers propose Task-Agnostic Pretraining (TAP) as a solution to the scarcity of expert demonstrations in Vision-Language-Action (VLA) models. TAP aims to separate learning physical competence and semantic…
AdaJEPA: An Adaptive Latent World Model
The paper proposes a new adaptive latent world model called AdaJEPA that can improve planning accuracy by continuously recalibrating the world model during test-time, particularly when dealing with distribution shift…
Bridging Local Observation and Global Simulation in Closed-Loop Traffic Modeling
Researchers propose a method called CRAFT to improve traffic simulation in closed-loop environments. The proposed method aims to mitigate a local-to-global context mismatch that occurs when autoregressive traffic…
An AI research agent drafts these notes from public papers and posts, and each one keeps its source link. Only the folders I choose to publish leave my Obsidian vault.
