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 120 篇，第 2 / 3 页

51. ICLR 2026CLIP Behaves like a Bag-of-Words Model Cross-modally but not Uni-modally
52. ICLR 2026Complementing Self-Consistency with Cross-Model Disagreement for Uncertainty Quantification
53. ICLR 2026Cross-Tokenizer Likelihood Scoring Algorithms for Language Model Distillation
54. ICLR 2026Efficient Discriminative Joint Encoders for Large Scale Vision-Language Reranking
55. ICLR 2026Exploring the Potential of Encoder-free Architectures in 3D LMMs
56. ICLR 2026Graphon Cross-Validation: Assessing Models on Network Data
57. ICLR 2026Proximal Diffusion Neural Sampler
58. ICLR 2026Quantifying Cross-Attention Interaction in Transformers for Interpreting TCR-pMHC Binding
59. ICLR 2026Rejuvenating Cross-Entropy Loss in Knowledge Distillation for Recommender Systems
60. ICLR 2026TRIDENT: Cross-Domain Trajectory Spatio-Temporal Representation via Distance-Preserving Triplet Learning
61. ICLR 2026XIL: Cross-Expanding Incremental Learning
62. ICML 2026Attention Projection Mixing with Exogenous Anchors
63. ICML 2026BIT-LLM: Brain Instruction Tuned LLM with persistent Cross-Attention for fMRI-to-Text Decoding
64. ICML 2026Clustered Influence Functions
65. ICML 2026Deep Discriminative Structure Proxy Hashing for Cross-modal Retrieval
66. ICML 2026HiST: A Hierarchical Sparse Transformer for Cross-Modal Spatial Transcriptomics Modeling
67. ICML 2026Must All Negatives Be Pushed Away Equally? Uncertainty-Aware Cross-View Geo-Localization via Normal Inverse Gamma Distribution
68. ICML 2026The Relative Instability of Model Comparison with Cross-validation
69. ICML 2026Vector Linking via Cross-Model Local Isometric Consistency
70. ICML 2026What If We Let Forecasting Forget? A Sparse Bottleneck for Cross-Variable Dependencies
71. NeurIPS 2026A Cross-Interaction Neural Architecture for Submodular Functions
72. NeurIPS 2026A Simple Unigram Cross-Entropy Lens on the Lexical Imprint of Pre-training Data
73. NeurIPS 2026A Topological Encoder Decoder Framework for Temporal Graph Learning
74. NeurIPS 2026ACDP: Architecture-aware Cross-Dataset Performance Predictor for NAS
75. NeurIPS 2026Auditing Correlated Failures in Frozen-Feature Pretrained-Encoder Pools for Medical Segmentation
76. NeurIPS 2026Bridging CLIP with DINO: Cross-Modal Information Maximization for Online Test-Time Adaptation
77. NeurIPS 2026ByteDistill: Cross-Tokenizer Distillation via Chunk-wise Byte-Level Distribution Alignment
78. NeurIPS 2026CHARM+: Cross-Hardware Attention with Re-Merge Multistream Mechanism
79. NeurIPS 2026CHASM: Cross-frequency Harmonized Axis-Separable Mixing for Spectral Token Operators
80. NeurIPS 2026CMI-Trans: Cross Modal Inconsistency-aware Transport for HSI-LiDAR Classification
81. NeurIPS 2026Codebook-Guided Cross-Modal Knowledge Distillation for Structurally Heterogeneous Features
82. NeurIPS 2026Concord-SLAM: Cross-Render Concordance for Boundary-Native Semantic Gaussian SLAM
83. NeurIPS 2026Cross-Architecture Transferability is Width-Confounded:Diagnosis and Subspace Correction
84. NeurIPS 2026Cross-Cell-Line Perturbation Prediction Needs Controls
85. NeurIPS 2026Cross-Family Universality of Behavioral Axes via Anchor-Projected Representations
86. NeurIPS 2026Cross-Fitting for Neural Posterior Estimation
87. NeurIPS 2026Cross-order Consensus Graph Matching
88. NeurIPS 2026Cross-Question Reliable Reinforcement Learning
89. NeurIPS 2026Crossing the Validation crisis: Cross-validation reduces benchmarking variance surprisingly well
90. NeurIPS 2026D-PACE: Dynamic Position-Aware Cross-Entropy for Parallel Speculative Drafting
91. NeurIPS 2026DELTAVID: Enhancing Fine-Grained Spatiotemporal Perception with Cross-Video Differences
92. NeurIPS 2026Diagonalizing the Softmax: Hadamard Initialization for Tractable Cross-Entropy Dynamics
93. NeurIPS 2026DivMoE: Fine-Grained MoE Upcycling via Cross-Domain Expert Composition
94. NeurIPS 2026Does Cross-Panel Pretraining Transfer Under Marker Heterogeneity? A Large-Scale Empirical Study in Clinical Flow Cytometry
95. NeurIPS 2026EgoBabyVLM: Benchmarking cross-modal learning from naturalistic egocentric video data
96. NeurIPS 2026Exploiting Textual Semantics for Robust Cross-View Object Correspondence
97. NeurIPS 2026Fast Gauss-Newton for Multiclass Cross-Entropy
98. NeurIPS 2026FedSEM: Mitigating Cross-Client Evidence Drift in Federated Multiple Instance Learning
99. NeurIPS 2026FiedlerPrune: Connectivity-Preserving Cross-Layer Pruning for Large Language Models
100. NeurIPS 2026Hierarchical Graph Alignment for Cross-Modal 3D Scene Grounding

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。