Mathematics, rightly viewed, possesses not only truth, but supreme beauty.

Bertrand Russell
I recently have started to taking notes for some interesting papers. Here is a selection of them.

Mamba: Linear-Time Sequence Modeling with Selective State Spaces

Mamba is a novel architecture thast addresses Transformers’ computational inefficiency on long sequences.

CLADDER: Assessing Causal Reasoning in Language Models

A proposed new causal inference dataset with a bespoke chain-or-thought prompting strategy.

EnCLAP: Combining Neural Audio Codec and Audio-Text Joint Embedding for Automated Audio Captioning

EnCLAP is a novel framework for automated caption, utilizing two acoustic representation models with a pretrained language model.

PoseGPT: Chatting about 3D Human Pose

PostGPT is a multi-modal LLM for pose generation and esimation.

Learning Soft Constraints From Constrained Expert Demonstrations

An algorithm that captures the soft constraints with some expert demonstrations.

Multi-Modal Inverse Constrained Reinforcement Learning from a Mixture of Demonstrations

An algorithm for simultaneously estimating multiple constraints corresponding to different types of experts.

Benchmarking constraint inference in inverse reinforcement learning

Introducing an ICRL benchmark in the context of RL application domains.

Uncertainty-Aware Reinforcement Learning for Risk-Sensitive Player Evaluation in Sports Game

An uncertainty-aware Reinforcement Learning (RL) framework to learn a risk-sensitive player evaluation metric from stochastic game dynamics.

Inverse Reinforcement Learning for Team Sports: Valuing Actions and Players

A method that alternates single-agent IRL to learn a reward function for multiple agents.

Keyword Spotting Systems

A survey of deep Keyword Spotting Systems.

Automated Audio Captioning

A survey overview of the task audio captioning.

Future Directions for Anomaly Detection

An overview of the future directions in Anomalous SED.