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2023:7hvbaJ1AbaM:Learning to Give Checkable Answers with Prover-Verifier Games | iclr | {
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"title": "Learning to Give Checkable Answers with Prover-Verifier Games",
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"Guodong Zhang",
"Yuhuai Wu",
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"venue": "ICLR 2022 Submitted",
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2023:IUGwUr5_9wY:UPSIDE | iclr | {
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"title": "DISCO-DANCE: Learning to Discover Skills with Guidance",
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"title": "Direct then Diffuse: Incremental Unsupervised Skill Discovery for State Covering and Goal Reaching",
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"Jean Tarbouriech",
"Sylvain Lamprier",
"Alessandro Lazaric",
"Ludovic Denoyer",
"Meta Ai"
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2023:Jdj0fZhswJC:PP16 | iclr | {
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"title": "Average Case Performance of Replicator Dynamics in Potential Games via Computing Regions of Attraction",
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2023:UG8bQcD3Emv:Deep End-to-end Causal Inference | iclr | {
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"title": "CUTS: Neural Causal Discovery from Irregular Time-Series Data",
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"Tingxiong Xiao",
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"year": 2023,
"venue": "ICLR",
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"title": "Deep End-to-end Causal Inference",
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"Angus Lamb",
"Martin Kukla",
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2023:UG8bQcD3Emv:VICause | iclr | {
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"year": 2023,
"venue": "ICLR",
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"title": "VICause: Simultaneous Missing Value Imputation and Causal Discovery with Groups",
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2023:a2-aoqmeYM4:On Stein Variational Neural Network Ensembles | iclr | {
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"title": "Approximate Bayesian Inference with Stein Functional Variational Gradient Descent",
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"Tobias Pielok",
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2023:cs3n00FQ7OI:Training Deep Neural Networks with 8-bit Floating Point Numbers | iclr | {
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"title": "Training Neural Networks with Low-Precision Model Memory",
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"year": 2023,
"venue": "ICLR",
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"title": "Training Deep Neural Networks with 8-bit Floating Point Numbers",
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"Naigang Wang",
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"Chia-Yu Chen",
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"venue": "NeurIPS 2018",
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2023:goLFJ0ZNwl:Gupta et al. 2021 | iclr | {
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"title": "Forget Unlearning: Towards True Data-Deletion in Machine Learning",
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"venue": "ICLR",
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"paper_id": "ngp-000015",
"title": "Adaptive Machine Unlearning",
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"Seth Neel",
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"Saeed Sharifi-Malvajerdi",
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"venue": "NeurIPS 2021",
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2023:lmumJ2pC0JB:Du and Hu (2019) | iclr | {
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"title": "Sharp Convergence Analysis of Gradient Descent for Deep Linear Neural Networks",
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"year": 2023,
"venue": "ICLR",
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"source_url": "https://openreview.net/pdf?id=lmumJ2pC0JB... | {
"paper_id": "ngp-000017",
"title": "Width Provably Matters in Optimization for Deep Linear Neural Networks",
"authors": [
"Simon Du",
"Wei Hu"
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"venue": "ICML 2019",
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2023:qihMOPw4Sf_:Duy et al. (2022) | iclr | {
"paper_id": "ngp-000018",
"title": "Valid P-Value for Deep Learning-driven Salient Region",
"authors": [
"Daiki Miwa",
"Vo Nguyen",
"Le Duy",
"Ichiro Takeuchi"
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"venue": "ICLR",
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"source... | {
"paper_id": "ngp-000019",
"title": "Quantifying Statistical Significance of Neural Network-based Image Segmentation by Selective Inference",
"authors": [
"Vo Nguyen",
"Le Duy",
"Shogo Iwazaki",
"Ichiro Takeuchi"
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"year": 2022,
"venue": "NeurIPS 2022",
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"doi":... | {
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2023:syfgJE6nFRW:ASHA | iclr | {
"paper_id": "ngp-000020",
"title": "PASHA: Efficient HPO and NAS with Progressive Resource Allocation",
"authors": [
"Ondrej Bohdal",
"Lukas Balles",
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"Beyza Ermis",
"Cédric Archambeau",
"Giovanni Zappella"
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"year": 2023,
"venue": "ICLR",
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"d... | {
"paper_id": "ngp-000021",
"title": "A System for Massively Parallel Hyperparameter Tuning",
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"Kevin Jamieson",
"Afshin Rostamizadeh",
"Ekaterina Gonina",
"Jonathan Ben-Tzur",
"Moritz Hardt",
"Benjamin Recht",
"Ameet Talwalkar"
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2024:3ZWdgOvmAA:Multi-Level Logit Distillation | iclr | {
"paper_id": "ngp-000022",
"title": "LumiNet: The Bright Side of Perceptual Knowledge Distillation",
"authors": [],
"year": 2024,
"venue": "ICLR",
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"paper_id": "ngp-000023",
"title": "Multi-Level Logit Distillation",
"authors": [
"Ying Jin",
"Jiaqi Wang",
"Dahua Lin"
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"venue": "CVPR 2023",
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2024:8y5vlBuRll:Tessler et al. (2019) | iclr | {
"paper_id": "ngp-000024",
"title": "Efficient Action Robust Reinforcement Learning with Probabilistic Policy Execution Uncertainty",
"authors": [],
"year": 2024,
"venue": "ICLR",
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"doi": null,
"forum_id": "8y5vlBuRll",
"s2_paper_id": null,
"source_url": "https://openreview.net/pdf... | {
"paper_id": "ngp-000025",
"title": "Action Robust Reinforcement Learning and Applications in Continuous Control",
"authors": [
"Chen Tessler",
"Yonathan Efroni",
"Shie Mannor"
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"venue": "ICML 2019",
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... | {
"task": null,
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2024:Q53QLftNkA:AudioMAE | iclr | {
"paper_id": "ngp-000026",
"title": "Masked Autoencoders with Multi-Window Local-Global Attention Are Better Audio Learners",
"authors": [
"Sarthak Yadav",
"Sergios Theodoridis",
"Lars Hansen",
"Zheng-Hua Tan"
],
"year": 2024,
"venue": "ICLR",
"arxiv_id": null,
"doi": null,
"forum_id"... | {
"paper_id": "ngp-000027",
"title": "Masked Autoencoders that Listen",
"authors": [
"Po-Yao Huang",
"Hu Xu",
"Juncheng Li",
"Alexei Baevski",
"Michael Auli",
"Wojciech Galuba",
"Florian Metze",
"Christoph Feichtenhofer"
],
"year": 2022,
"venue": "NeurIPS 2022",
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"task": null,
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2024:W2tCmRrj7H:TabDDPM | iclr | {
"paper_id": "ngp-000028",
"title": "A Flexible Generative Model for Heterogeneous Tabular EHR with Missing Modality",
"authors": [
"Huan He",
"William Hao",
"Yuanzhe Xi",
"Yong Chen",
"Bradley Malin",
"Joyce Ho"
],
"year": 2024,
"venue": "ICLR",
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... | {
"paper_id": "ngp-000029",
"title": "TabDDPM: Modelling Tabular Data with Diffusion Models",
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"Ivan Rubachev",
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"venue": "ICML 2023",
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2024:mGHJAyR8w0:On the expressive power of geometric graph neural networks | iclr | {
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"title": "Rethinking the Benefits of Steerable Features in 3D Equivariant Graph Neural Networks",
"authors": [
"Shih-Hsin Wang",
"Yung-Chang Hsu",
"Justin Baker",
"Andrea Bertozzi",
"Jack Xin",
"Bao Wang"
],
"year": 2024,
"venue": "ICLR",
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"title": "On the Expressive Power of Geometric Graph Neural Networks",
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2024:nUBSQKeROV:MoEfication | iclr | {
"paper_id": "ngp-000032",
"title": "Emergent Mixture-of-Experts: Can Dense Pre-trained Transformers Benefit from Emergent Modular Structures?",
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"title": "MoEfication: Transformer Feed-forward Layers are Mixtures of Experts",
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"Yankai Lin",
"Zhiyuan Liu",
"Peng Li",
"Maosong Sun",
"Jie Zhou"
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"venue": "Findings of ACL 2022",
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... | {
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2024:ykEixGIJYb:Incentivized Communication for Federated Bandits | iclr | {
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"title": "Incentivized Truthful Communication for Federated Bandits",
"authors": [
"Zhepei Wei",
"Chuanhao Li",
"Tianze Ren",
"Haifeng Xu",
"Hongning Wang"
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"venue": "ICLR",
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"title": "Incentivized Communication for Federated Bandits",
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"... | {
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2025:5o9JJJPPm6:AlberDICE | iclr | {
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"title": "ComaDICE: Offline Cooperative Multi-Agent Reinforcement Learning with Stationary Distribution Shift Regularization",
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"Bui",
"Hong Nguyen",
"Tien Mai"
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"year": 2025,
"venue": "ICLR",
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"title": "AlberDICE: Addressing Out-Of-Distribution Joint Actions in Offline Multi-Agent RL via Alternating Stationary Distribution Correction Estimation",
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"Jongmin Lee",
"Jaeseok Yoon",
"Stefanos Leonardos",
"Pieter Abbeel",
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2025:GOwNImvCWf:Equivariant Deep Weight Space Alignment | iclr | {
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"title": "Structure and Behavior in Weight Space Representation Learning",
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"title": "Equivariant Deep Weight Space Alignment",
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2025:UENQuayzr1:TrMRL | iclr | {
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"title": "Efficient Cross-Episode Meta-RL",
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"Gresa Shala",
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"Pierre Krack",
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"title": "Transformers are Meta-Reinforcement Learners",
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2025:VVVfuIcmKR:OTI | iclr | {
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"title": "Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality Inversion",
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"Marco Mistretta",
"Alberto Baldrati",
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"Marco Bertini",
"Andrew Bagdanov"
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2025:b9dBNNeDd3:MaskGIT | iclr | {
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"title": "MaskGIT: Masked Generative Image Transformer",
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"Han Zhang",
"Lu Jiang",
"Ce Liu",
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2025:f3gCs2a4ZD:DyGFormer | iclr | {
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"title": "DyGMamba: Efficiently Modeling Long-Term Temporal Dependency on Continuous-Time Dynamic Graphs with State Space Models",
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2025:fRXAQfHlmr:Flash3D | iclr | {
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"title": "studentSplat: Your Student Model Learns Single-view 3D Gaussian Splatting",
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2025:hCfhfwSfCg:DreamerV3 | iclr | {
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2025:l9LWx9HMl5:Robust Preference Optimization through Reward Model Distillation | iclr | {
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2026:4XQVBihXUD:GTF^2M | iclr | {
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2026:57Fx3Ck4ot:On Embeddings for Numerical Features in Tabular Deep Learning | iclr | {
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2026:5llEo7Hx1k:PanFusion | iclr | {
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2026:5zGYmcYsSL:CrossQ | iclr | {
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2026:65Ai8mLfjI:TokenVerse | iclr | {
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2026:CyXPiK5JLy:Graph Neural Networks for Link Prediction with Subgraph Sketching | iclr | {
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2026:EXtPGwYdWe:Hedgehog | iclr | {
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2026:EcygLrP7je:PARM | iclr | {
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2026:FF2Lbu9U6Y:AlphaEvolve | iclr | {
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2026:FMSp8AUF3m:D4M | iclr | {
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2026:FXxva35wtF:LoRA-SB | iclr | {
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2026:GRbI7kqA6S:TreeRPO | iclr | {
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2026:GSLcetBFva:DTF-AT | iclr | {
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2026:Gp9lGS9GfY:GPT4RoI | iclr | {
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"Yikang Zhou",
"Yanwei Li",
"Jiacong Wang",
"Jiani Zheng",
"Ye Tian",
"Jiahao Meng",
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2026:HDZ2GBwrWo:Sparse Upcycling | iclr | {
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2026:HIG7riDJ9N:RLFN | iclr | {
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2026:HoUIYpitfo:SIFT | iclr | {
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2026:HuFMP0R4DR:MathScale | iclr | {
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2026:IWQNhR6poq:Bortoli et al. (2025) | iclr | {
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2026:JLfky7RakB:Identify Critical KV Cache in LLM Inference from an Output Perturbation Perspective | iclr | {
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2026:JT6hR0sNXZ:L4GM | iclr | {
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"Xiaohui Zeng",
"Karsten Kreis",
"Ziwei Liu",
"Antonio Torralba",
"Sanja Fidler",
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2026:JiplNsLiPv:Chronos | iclr | {
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"Syama Rangapuram",
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2026:K2ceVeoqbL:ManipTrans | iclr | {
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2026:KXAJtW8Bib:Learning to Search Better than Your Teacher | iclr | {
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2026:KgyyIk59Nx:LivePortrait | iclr | {
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2026:KgyyIk59Nx:Sonic | iclr | {
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"Zhihong Xu",
"Junwei Zhu",
"Chuming Lin",
"Qingdong He",
"Jiangning Zhang",
"Donghao Luo",
"Yi Chen",
"Qin Lin",
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2026:Kk08XcQCl2:Aamari et al. 2019 | iclr | {
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2026:L1VPZFbAcu:VLM2Vec | iclr | {
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"Xinyi Yang",
"Semih Yavuz",
"Yingbo Zhou",
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