交叉编码重排论文趋势 2023–2026

主要结论

• 交叉编码重排论文从 2023 年的 40 篇增长到 2026 年的 121 篇，三年间扩大到约 3.0 倍。
• CVPR 是发交叉编码重排论文最多的会议，2023–2026 年共 115 篇，占四个会议总量的 44%。
• 交叉方向里涨得最快的是三维视觉：同时属于两个主题的论文从 2023 年的 1 篇增至 2026 年的 11 篇。
• 在「信息检索」的 5 个主题里，它的 2026 年论文数排第 2；同组增长最快的稠密检索是 2.7 倍，交叉编码重排是 3.0 倍。

代表论文

按年份和会议均匀挑选，方便快速看到每一届的样貌

• NeurIPS 2026A Simple Unigram Cross-Entropy Lens on the Lexical Imprint of Pre-training Data
• ICML 2026Clustered Influence Functions
• ICLR 2026Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty Quantification
• CVPR 2026Bidirectional Cross-Modal Prompting for Event-Frame Asymmetric Stereo
• NeurIPS 2025Disentangled Cross-Modal Representation Learning with Enhanced Mutual Supervision
• ICML 2025DeepCrossAttention: Supercharging Transformer Residual Connections
• ICLR 2025CBQ: Cross-Block Quantization for Large Language Models
• CVPR 2025A4A: Adapter for Adapter Transfer via All-for-All Mapping for Cross-Architecture Models
• NeurIPS 2024Cross-Care: Assessing the Healthcare Implications of Pre-training Data on Language Model Bias
• ICML 2024Improved Dimensionality Dependence for Zeroth-Order Optimisation over Cross-Polytopes
• ICLR 2024Geometrically Aligned Transfer Encoder for Inductive Transfer in Regression Tasks
• CVPR 2024How to Make Cross Encoder a Good Teacher for Efficient Image-Text Retrieval?
• NeurIPS 2023Fine-Grained Cross-View Geo-Localization Using a Correlation-Aware Homography Estimator
• ICML 2023Iterative Approximate Cross-Validation
• ICLR 2023Cross-Layer Retrospective Retrieving via Layer Attention
• CVPR 20233D Human Pose Estimation With Spatio-Temporal Criss-Cross Attention
• NeurIPS 2026A Topological Encoder Decoder Framework for Temporal Graph Learning
• ICML 2026Vector Linking via Cross-Model Local Isometric Consistency
• ICLR 2026Cross-Tokenizer Likelihood Scoring Algorithms for Language Model Distillation
• CVPR 2026CAR-SAM Cross-Attention Reconstruction for Post-Training Quantization of the Segment Anything

全部交叉编码重排论文

共 79 篇，第 1 / 2 页

1. NeurIPS 2026A Cross-Interaction Neural Architecture for Submodular Functions
2. NeurIPS 2026A Simple Unigram Cross-Entropy Lens on the Lexical Imprint of Pre-training Data
3. NeurIPS 2026A Topological Encoder Decoder Framework for Temporal Graph Learning
4. NeurIPS 2026ACDP: Architecture-aware Cross-Dataset Performance Predictor for NAS
5. NeurIPS 2026Auditing Correlated Failures in Frozen-Feature Pretrained-Encoder Pools for Medical Segmentation
6. NeurIPS 2026Bridging CLIP with DINO: Cross-Modal Information Maximization for Online Test-Time Adaptation
7. NeurIPS 2026ByteDistill: Cross-Tokenizer Distillation via Chunk-wise Byte-Level Distribution Alignment
8. NeurIPS 2026CHARM+: Cross-Hardware Attention with Re-Merge Multistream Mechanism
9. NeurIPS 2026CHASM: Cross-frequency Harmonized Axis-Separable Mixing for Spectral Token Operators
10. NeurIPS 2026CMI-Trans: Cross Modal Inconsistency-aware Transport for HSI-LiDAR Classification
11. NeurIPS 2026Codebook-Guided Cross-Modal Knowledge Distillation for Structurally Heterogeneous Features
12. NeurIPS 2026Concord-SLAM: Cross-Render Concordance for Boundary-Native Semantic Gaussian SLAM
13. NeurIPS 2026Cross-Architecture Transferability is Width-Confounded:Diagnosis and Subspace Correction
14. NeurIPS 2026Cross-Cell-Line Perturbation Prediction Needs Controls
15. NeurIPS 2026Cross-Family Universality of Behavioral Axes via Anchor-Projected Representations
16. NeurIPS 2026Cross-Fitting for Neural Posterior Estimation
17. NeurIPS 2026Cross-order Consensus Graph Matching
18. NeurIPS 2026Cross-Question Reliable Reinforcement Learning
19. NeurIPS 2026Crossing the Validation crisis: Cross-validation reduces benchmarking variance surprisingly well
20. NeurIPS 2026D-PACE: Dynamic Position-Aware Cross-Entropy for Parallel Speculative Drafting
21. NeurIPS 2026DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences
22. NeurIPS 2026Diagonalizing the Softmax: Hadamard Initialization for Tractable Cross-Entropy Dynamics
23. NeurIPS 2026DivMoE: Fine-Grained MoE Upcycling via Cross-Domain Expert Composition
24. NeurIPS 2026Does Cross-Panel Pretraining Transfer Under Marker Heterogeneity? A Large-Scale Empirical Study in Clinical Flow Cytometry
25. NeurIPS 2026EgoBabyVLM: Benchmarking cross-modal learning from naturalistic egocentric video data
26. NeurIPS 2026Exploiting Textual Semantics for Robust Cross-View Object Correspondence
27. NeurIPS 2026Fast Gauss-Newton for Multiclass Cross-Entropy
28. NeurIPS 2026FedSEM: Mitigating Cross-Client Evidence Drift in Federated Multiple Instance Learning
29. NeurIPS 2026FiedlerPrune: Connectivity-Preserving Cross-Layer Pruning for Large Language Models
30. NeurIPS 2026Hierarchical Graph Alignment for Cross-Modal 3D Scene Grounding
31. NeurIPS 2026Improving Context-Shift Robustness of Convolutional Networks via Context-Regularized Cross-Entropy
32. NeurIPS 2026Intrinsic Riemannian Cross-covariance for Manifold-valued Random Objects
33. NeurIPS 2026LACE: Lattice Attention for Cross-thread Exploration
34. NeurIPS 2026LatentUM: Unleashing the Potential of Interleaved Cross-Modal Reasoning via a Latent-Space Unified Model
35. NeurIPS 2026Learning Neuronal Wiring Rules from Morphological Token Sequences
36. NeurIPS 2026Less Decoder is More Encoder: Geometric Representation Learning from Novel View Synthesis
37. NeurIPS 2026Multiform Attack for Transferable Cross-Modal Person Re-Identification
38. NeurIPS 2026Mutual Predictability Decomposition: Learning Interpretable Cross-Set Structure via Bi-Directional Prediction
39. NeurIPS 2026OLA-Place: Cross-Modal Place Recognition without Global Descriptors
40. NeurIPS 2026OneVision-Encoder: Codec-Aligned Sparsity as a Foundational Principle for Multimodal Intelligence
41. NeurIPS 2026SCOT: Multi-Source Cross-City Transfer with Optimal-Transport Soft-Correspondence Objectives
42. NeurIPS 2026The Fractured Interlingua: Geometric Bottlenecks in Cross-Lingual Knowledge Editing
43. NeurIPS 2026The Shape of Events: Edge-Based Inductive Biases via Cross-Domain Distillation
44. NeurIPS 2026TRL-Bench: Standardizing Cross-Paradigm Representation-Level Evaluation of Tabular Encoders
45. NeurIPS 2026UECO: A Unified Encoder with Structure-Aware Attention Mixture via Iterative Edge Evolving for Neural Combinatorial Optimization
46. NeurIPS 2026UniRank: Unified List-wise Reranking via Confidence-Ordered Denoising
47. NeurIPS 2026When Alignment Fails: Stabilizing Cross-Dynamics RL with Prototype Trust Regions
48. NeurIPS 2026Where Root Cause Analysis Fails: A Retrieval-Reranking Decomposition
49. NeurIPS 2026X-Palm: Paired Multispectral-to-Smartphone Dataset for Cross-Domain Palmprint Authentication
50. NeurIPS 2026XMNoise2Clean: Cross-Modal Denoising Under Sparse Data

常见问题

2023–2026 年四大会议一共有多少篇交叉编码重排论文？

共 260 篇，按年份分别是 2023 年 40 篇、2024 年 51 篇、2025 年 48 篇、2026 年 121 篇。

NeurIPS 2026 有多少篇交叉编码重排论文？

NeurIPS 2026 有 50 篇交叉编码重排论文，上一届是 11 篇。

ICLR 2026 有多少篇交叉编码重排论文？

ICLR 2026 有 13 篇交叉编码重排论文，上一届是 7 篇。

ICML 2026 有多少篇交叉编码重排论文？

ICML 2026 有 9 篇交叉编码重排论文，上一届是 9 篇。

CVPR 2026 有多少篇交叉编码重排论文？

CVPR 2026 有 49 篇交叉编码重排论文，上一届是 21 篇。

哪个会议的交叉编码重排论文最多？

CVPR，2023–2026 年共 115 篇。