Papers

• Loss Landscape Topology Reveals Why Simple Baselines are Competitive at 3D Point Cloud Segmentation Under Class Imbalance (2026)
  Antonis Savva et al.
  5.01
• PixCon: Clean-Positive Contrastive Learning for Foundation-Model Semi-Supervised Segmentation (2026)
  Ebenezer Tarubinga
  1.94
• CORE: Contrastive Reflection Enables Rapid Improvements in Reasoning (2026)
  Linas Nasvytis et al.
  1.89
• un^2CLIP: Improving CLIP's Visual Detail Capturing Ability via Inverting unCLIP (2025)
  Yinqi Li et al.
  1.28
• GCPO: When Contrast Fails, Go Gold (2025)
  Hao Wu et al.
  1.28
• LACoS-BLOOM: Low-rank Adaptation with Contrastive objective on 8 bits Siamese-BLOOM (2023)
  Wen-Yu Hua et al.
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• Scaling (Down) CLIP: A Comprehensive Analysis of Data, Architecture, and Training Strategies (2024)
  Zichao Li et al.
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• Aligning Diffusion Models with Noise-Conditioned Perception (2024)
  Alexander Gambashidze et al.
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• Is Preference Alignment Always the Best Option to Enhance LLM-Based Translation? An Empirical Analysis (2024)
  Hippolyte Gisserot-Boukhlef et al.
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