South America
ManiPose: Manifold-Constrained Multi-Hypothesis 3D Human Pose Estimation Cédric Rommel
We propose ManiPose, a manifold-constrained multi-hypothesis model for human-pose 2D-to-3D lifting.
Pessimistic Backward Policy for GFlowNets
To this end, GFlowNets construct an object through a trajectory of state transitions, e.g., iteratively adding molecular fragments to construct a molecule.
No Filter: Cultural and Socioeconomic Diversity in Contrastive Vision-Language Models Angéline Pouget
Second, pretraining with global, unfiltered data before fine-tuning on English content can improve cultural understanding without sacrificing performance on said popular benchmarks.
Mixed Dynamics In Linear Networks: Unifying the Lazy and Active Regimes
The mixed regime is the'best of both worlds': it converges
Large Language Model Unlearning
We study how to perform unlearning, i.e. forgetting undesirable (mis)behaviors, on large language models (LLMs).
The PRISM Alignment Dataset: What Participatory, Representative and Individualised Human Feedback Reveals About the Subjective and Multicultural Alignment of Large Language Models Hannah Rose Kirk 1
Human feedback is central to the alignment of Large Language Models (LLMs).
FAST: A Dual-tier Few-Shot Learning Paradigm for Whole Slide Image Classification
Finally, we integrate the results from both branches to achieve WSI classification.