{"total":18,"rows":[{"id":"2407.00143","title":"InfoNCE: Identifying the Gap Between Theory and Practice","created":"2024-06-28","cited_by_count":40,"area":null},{"id":"2410.21869","title":"Cross-Entropy Is All You Need To Invert the Data Generating Process","created":"2024-10-29","cited_by_count":31,"area":null},{"id":"2302.02865","title":"Probabilistic Contrastive Learning Recovers the Correct Aleatoric Uncertainty of Ambiguous Inputs","created":"2023-02-06","cited_by_count":29,"area":null},{"id":"2307.03810","title":"URL: A Representation Learning Benchmark for Transferable Uncertainty Estimates","created":"2023-07-07","cited_by_count":17,"area":null},{"id":"2509.22412","title":"FreqDebias: Towards Generalizable Deepfake Detection via Consistency-Driven Frequency Debiasing","created":"2025-09-26","cited_by_count":14,"area":null},{"id":"2402.16569","title":"Pretrained Visual Uncertainties","created":"2024-02-26","cited_by_count":10,"area":null},{"id":"2502.09252","title":"On the Importance of Embedding Norms in Self-Supervised Learning","created":"2025-02-13","cited_by_count":9,"area":null},{"id":"2405.18560","title":"Potential Field Based Deep Metric Learning","created":"2024-05-28","cited_by_count":4,"area":null},{"id":"2411.15099","title":"Context-Aware Multimodal Pretraining","created":"2024-11-22","cited_by_count":3,"area":null},{"id":"2405.08533","title":"Dynamic Feature Learning and Matching for Class-Incremental Learning","created":"2024-05-14","cited_by_count":1,"area":null},{"id":"2405.16460","title":"Probabilistic Contrastive Learning with Explicit Concentration on the Hypersphere","created":"2024-05-26","cited_by_count":0,"area":null},{"id":"2408.15656","title":"Realigned Softmax Warping for Deep Metric Learning","created":"2024-08-28","cited_by_count":0,"area":null},{"id":"2409.18543","title":"Reducing Semantic Ambiguity In Domain Adaptive Semantic Segmentation Via Probabilistic Prototypical Pixel Contrast","created":"2024-09-27","cited_by_count":0,"area":null},{"id":"2601.09121","title":"Beyond Seen Bounds: Class-Centric Polarization for Single-Domain Generalized Deep Metric Learning","created":"2026-01-14","cited_by_count":0,"area":null},{"id":"2601.20246","title":"BLENDER: Blended Text Embeddings and Diffusion Residuals for Intra-Class Image Synthesis in Deep Metric Learning","created":"2026-01-28","cited_by_count":0,"area":null},{"id":"2605.09859","title":"Learning to Align Generative Appearance Priors for Fine-grained Image Retrieval","created":"2026-05-11","cited_by_count":0,"area":null},{"id":"2606.30625","title":"Optimization Dynamics Imprint Semantic Specificity in Contrastive Embedding Norms","created":"2026-06-29","cited_by_count":0,"area":null},{"id":"2608.24010","title":"Absorbing Gradient Conflicts: Modeling Semantic Variance via Kent Distributions for Cross-Modal Hashing","created":"2026-08-25","cited_by_count":0,"area":null}],"next_cursor":null}