…As a result, models typically require extensive training on device-specific datasets, which are costly and laborious to acquire. This paper addresses these challenges by introducing EgoForce, a monocular 3D hand reconstruction…
…No dataset linking this paper Cite arxiv.org/abs/2605.10268 in a dataset README.md to link it from this page. No Space linking this paper Cite arxiv.org/abs/2605…
…AI-generated summary Inductive Logic Programming (ILP) learns interpretable logical rules from data. Existing methods are transductive: their learned parameters are bound to specific predicates and require retraining for each new task…
…models or heavily curated difficult datasets, limiting scalable capability improvement. In this paper, we introduce DenoiseRL, a reinforcement learning framework that substitutes external supervision with recovery-oriented optimization over failures from weak…
…No dataset linking this paper Cite arxiv.org/abs/2605.04012 in a dataset README.md to link it from this page. No Space linking this paper Cite arxiv.org/abs/2605…
…In low-data fine-tuning settings, DLR matches or outperforms supervised fine-tuning across four datasets and six models, achieving a mean gain of +6.6 percentage points, while prior discrete-latent…
…No dataset linking this paper Cite arxiv.org/abs/2606.09821 in a dataset README.md to link it from this page. No Space linking this paper Cite arxiv.org/abs/2606…
…No dataset linking this paper Cite arxiv.org/abs/2604.27151 in a dataset README.md to link it from this page. No Space linking this paper Cite arxiv.org/abs/2604…
…No dataset linking this paper Cite arxiv.org/abs/2606.01961 in a dataset README.md to link it from this page. No Space linking this paper Cite arxiv.org/abs/2606…
…No dataset linking this paper Cite arxiv.org/abs/2604.26091 in a dataset README.md to link it from this page. No Space linking this paper Cite arxiv.org/abs/2604…